Cited by 710Genetics and Plant BreedingCrop Yield and Soil FertilityWheat and Barley Genetics and Pathology

The DOI matches its Crossref record; 89 of the 91 references it cites were found in a registry or an index.

Harvest index: a review of its use in plant breeding and crop physiology.

HAY, R K M·1995·Annals of Applied Biology

DOI 10.1111/j.1744-7348.1995.tb05015.x

Open this paper in CoChat — free account

Abstract

Summary: This review charts the use of the concept of harvest index in crop improvement and physiology, concentrating on the literature from the last 20 years. Evidence from abstract journals indicates that the term has been applied most to small grain cereal crops and pulses, in India, Western Europe and the USA, and that it has been less useful for maize and tuber crops. Standard methods of measuring harvest index, the associated problems of measurement and interpretation, and representative values for a range of world species are reviewed. The values for modern varieties of most intensively‐cultivated grain crops fall within the range 0.4 to 0.6. Variation between varieties of the same species is illustrated by trends in the harvest indices of old, outclassed and recent varieties of temperate and mediterranean wheat and barley (compared under uniform conditions); this shows a progressive increase throughout the present century, although improvement has been much slower in Australia and Canada than in the UK. In most cases, the improvement in harvest index has been a consequence of increased grain population density coupled with stable individual grain weight. The high heritability of harvest index is explored by examining its (rather weak) response to variation in environmental factors (fertilisation, population density, application of growth regulators) in the absence of severe stress. A fuller perspective is gained by reviewing aspects of the harvest index of rice, maize and tropical pulses. With rice, attention must be paid to the fact that the adhering lemma and palea (not primarily part of economic yield) can make up 20% of grain weight; and there are important interactions among biomass, grain yield and season length. Maize differs from most small grain crops in that harvest index (in N. American varieties) was already high at the start of this century, and increases in yield potential have been largely the consequence of increased biomass production. The harvest index of many pulse species and varieties tends to be low because selection has been for some yield in all seasons. Extension of the harvest index concept to express the partitioning of mineral nutrients as well as dry matter (e.g. the nitrogen harvest index) has provided a range of responses whose implications for production and breeding remain to be explored. It is concluded that even though the principal cereal crops appear to be approaching the upper limit of harvest index, and future yield gains will have to be sought by increased biomass production, there will still be a need for the concept of harvest index as a tool in interpreting crop response to different environments and climatic change.

Integrity signals

Registry

Crossref · 10.1111/j.1744-7348.1995.tb05015.x

Cites

89 of 89 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Population Biology of Plants.
Trenbath, B. R., & Harper, J. L. (1978) · Journal of Applied Ecology · doi:10.2307/2402622 · Cited by 6,962
The breeding of crop ideotypes
Donald, C. (1968) · Euphytica · doi:10.1007/bf00056241 · Cited by 1,467
Products, requirements and efficiency of biosynthesis a quantitative approach
de Vries, F. W. T. P., Brunsting, A. H. M., & van Laar, H. H. (1974) · Journal of Theoretical Biology · doi:10.1016/0022-5193(74)90119-2 · Cited by 918
The Biological Yield and Harvest Index of Cereals as Agronomic and Plant Breeding Criteria
Donald, C., & Hamblin, J. (1976) · Advances in agronomy · doi:10.1016/s0065-2113(08)60559-3 · Cited by 914
Genetic improvements in winter wheat yields since 1900 and associated physiological changes.
Austin, R. B., Bingham, J., Blackwell, R. D., Evans, L. T., Ford, M. A., Morgan, C. L., & Taylor, M. (1980) · The Journal of Agricultural Science · doi:10.1017/s0021859600028665 · Cited by 805
Grain yield, harvest index, and water use of wheat.
Passioura, J. B. (1977) · Journal of the Australian Institute of Agricultural Science · Cited by 586
Crop evolution, adaptation and yield
Pimentel, D. M. D. S. (1993) · Trends in Ecology & Evolution · doi:10.1016/0169-5347(93)90015-h · Cited by 583
A Darwinian Approach to Plant Ecology
Harper, J. L. (1967) · Journal of Ecology · doi:10.2307/2257876 · Cited by 567
Radiation absorption, growth and yield of cereals
Gallagher, J. N., & Biscoe, P. V. (1978) · The Journal of Agricultural Science · doi:10.1017/s0021859600056616 · Cited by 535
Attributes of trees as crop plants
Cannell, M. G. R., & Jackson, J. E. (1985) · Cited by 493

Show all 91 references

Research works printed but not linked: 30

Akita S., 1989, Progress in Irrigated Rice Research, 41
Anon.1978.Harvest index: criterion for selecting for high yield ability.Annual Report of the International Rice Research Institute for 1977 pp.21–25.
Banerji B, 1984, Accumulation and partitioning of dry matter in deepwater rice, Indian Journal of Plant Physiology, 21, 201
Beaven E S., 1920, Breeding cereals for increased production, Journal of the Farmers' Club, London, 6, 107
Biscoe P V., 1984, The Nitrogen Requirements of Cereals, 53
Donald C M., 1962, In search of yield, Journal of the Australian Institute of Agricultural Science, 28, 171
GaleM D.1979.The effects of Norin 10 dwarfing genes on yield.Proceedings of the Fifth International Wheat Genetics Symposium Delhi 1978 pp.978–987.
Gallagher J N, 1978, A physiological analysis of cereal yield. 2. Partitioning of dry matter, Agricultural Progress, 53, 51
Holliday R, 1969, Variety potential in cereals and its importance, Agricultural Progress, 44, 56
Jackson J E., 1985, Attributes of Trees as Crop Plants, 441
Jain H K, 1976, Dwarfing genes and breeding for yield in bread wheat, Zeitschrift für Pflanzenzuchtung, 76, 102
Jain H K, 1976, The present basis and future possibilities of breeding for yield in maize, Zeitschrift für Pflanzenzuchtung, 76, 90
Khanna‐Chopra R, 1987, The Chickpea, 163
Lal S., 1976, Relationship between grain and biological yields in chickpea (Cicer arietinum L.), Tropical Grain Legume Bulletin, 6, 29
Ludlow M M, 1993, International Crop Science 1, 247
Muehlbauer F J, 1987, The Chickpea, 99
Murty K S, 1977, Variability in the harvest index of late duration high yielding rice cultivars, Indian Journal of Plant Physiology, 20, 115
Palit P, 1976, Growth and yield parameters of two dwarf and two tall varieties of rice under different fertilizer combinations, Indian Journal of Agricultural Science, 46, 292
Prasad M., 1981, Biological yield and harvest index of rice, Oryza, 18, 31
Raju D B, 1978, Genetic variability and correlations in chickpea, Tropical Grain Legume Bulletin, 13, 35
Reddy G V, 1986, Effect of time of planting on yield of four Nellore rice varieties during wet season, Oryza, 23, 190
RooneyJ M LeighR A.1993.Dry matter and nitrogen partitioning to the grain of winter wheat (Triticum aestivumL.) cultivars grown on Broadbalk since 1943.Aspects of Applied Biology34 Physiology of Varieties pp.219–227.
Russell W A., 1993, International Crop Science I, 225
Sahu G, 1978, Influence of season on growth and productive efficiency of high yielding rice cultivars, Indian Journal of Plant Physiology, 21, 201
Scott R K, 1994, Home‐Grown Cereals Authority, 1994 Conference on cereals R&D, 3
Singh K B., 1987, The Chickpea, 127
Sinha S K., 1993, International Crop Science 1, 281
Swaminathan M S., 1993, International Crop Science 1, 385
Venkateswarlu B, 1982, Nature of association among biomass, harvest index and economic yield in rice, Indian Journal of Plant Physiology, 25, 149
Wilson D, 1981, Varietal improvement by selection for reduced dark respiration rate in perennial ryegrasses. In Plant Physiology and Herbage Production, Occasional Publications of the British Grassland Society, 13, 209

Sorted by citations

Items 301–400 of 710

The Role of Harvest Index in Improving Crop Productivity: A Review
Asefa, G. (2019) · doi:10.7176/jnsr/9-6-04 · Cited by 17
Effects of elevated atmospheric CO2 and its interaction with temperature and nitrogen on yield of barley (Hordeum vulgare L.): a meta-analysis
Gardi, M. W., Haussmann, B. I. G., Malik, W. A., & Högy, P. (2022) · Plant and Soil · doi:10.1007/s11104-022-05386-5 · Cited by 17
Determining water requirements of biblical hyssop using an ET-based drip irrigation system
Jaafar, H. H., Khraizat, Z. M., Bashour, I. I., & Haidar, M. A. (2016) · Agricultural Water Management · doi:10.1016/j.agwat.2016.11.008 · Cited by 17
Effects of land use and anthropogenic aerosol emissions in the Roman Empire
Gilgen, A., Wilkenskjeld, S., Kaplan, J. O., Kühn, T., & Lohmann, U. (2019) · Climate of the past · doi:10.5194/cp-15-1885-2019 · Cited by 17
Genetic dissection of the relationship of apparent biological yield and apparent harvest index with seed yield and yield related traits in soybean
Cui, S., He, X., Fu, S., Meng, Q., Gai, J., & Yu, D. (2008) · Australian Journal of Agricultural Research · doi:10.1071/ar07068 · Cited by 17
Plant trait relationships are maintained within a major crop species: lack of artificial selection signal and potential for improved agronomic performance
Lemoine, T., Violle, C., Montazeaud, G., Isaac, M. E., Rocher, A., Fréville, H., & Fort, F. (2023) · New Phytologist · doi:10.1111/nph.19279 · Cited by 16
APPLYING SIMULATION TO IMPROVE RICE VARIETIES IN REDUCING THE ON-FARM YIELD GAP IN CAMBODIAN LOWLAND RICE ECOSYSTEMS
Poulton, P. L., VESNA, T., Dalgliesh, N. P., & Seng, V. (2014) · Experimental Agriculture · doi:10.1017/s0014479714000271 · Cited by 16
Apparent Stability and Subtle Change in Surface and Subsurface Soil Carbon and Nitrogen under a Long‐Term Fertilizer Gradient
Collier, S. M., Ruark, M. D., Naber, M. R., Andraski, T. W., & Casler, M. D. (2017) · Soil Science Society of America Journal · doi:10.2136/sssaj2016.09.0299 · Cited by 16
Phenotypic plasticity in relation to inter-cultivar variation of garlic (Allium sativum L.) functional performance and yield-stability in response to water availability
Sánchez-Virosta, Á., Sadras, V. O., & Sánchez‐Gómez, D. (2021) · Scientia Horticulturae · doi:10.1016/j.scienta.2021.110128 · Cited by 16
Value Proposition of Different Methods for Utilisation of Sugarcane Wastes
Hamawand, I. B., da Silva, W. P., Seneweera, S. P., & Bundschuh, J. (2021) · Energies · doi:10.3390/en14175483 · Cited by 16
Understanding growth and development of three short-season grain legumes for improved adaptation in semi-arid Eastern Kenya
Sennhenn, A., Njarui, D. M. G., Maass, B. L., & Whitbread, A. M. (2017) · Australian Journal of Agricultural Research · doi:10.1071/cp16416 · Cited by 16
Green manure substitution reduces carbon and nitrogen footprints and improves net ecosystem economic benefits in double rice systems
Daba, N. A., Huang, J. Y., Alam, M. A., Li, J., Shen, Z., Tadesse, K. A., Gilbert, N., Han, T., Kebede, E., Legesse, T. G., et al. (2025) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2025.146266 · Cited by 15
Transcriptomic and physiological shade avoidance responses in potato (Solanum tuberosum) plants
Gómez‐Ocampo, G., Cascales, J., Medina‐Fraga, A. L., Ploschuk, E. L., Mantese, A. I., Crocco, C. D., Matsusaka, D., Sánchez, D. H., & Botto, J. F. (2023) · Physiologia Plantarum · doi:10.1111/ppl.13991 · Cited by 15
Pulse ideotypes for abiotic constraint alleviation in Australia
Rao, S. A., Silva‐Pérez, V., Armstrong, R. D., Tefera, A. T., Brand, J., Riffkin, P. A., & Rosewarne, G. M. (2023) · Plant and Soil · doi:10.1007/s11104-023-06159-4 · Cited by 15
Influence of Foliar Application of Microelements on Yield and Yield Components of Spring Malting Barley
Stadnik, B., Tobiasz-Salach, R. E., & Migut, D. (2024) · Agriculture · doi:10.3390/agriculture14030505 · Cited by 15
Efficiency of Azolla and Biochar Application on Rice (Oryza sativa L.) Productivity in Salt-Affected Soil
abouhussien, E., Ahmed, B., & Elbaalawy, A. M. (2020) · Egyptian Journal of Soil Science · doi:10.21608/ejss.2020.33148.1364 · Cited by 15
Interrelationships between yield and its components in hot pepper (Capsicum chinense Jacq.)
Ramjattan, R., & Umaharan, P. (2021) · Scientia Horticulturae · doi:10.1016/j.scienta.2021.110254 · Cited by 15
In silico evidence for the utility of parsimonious root phenotypes for improved vegetative growth and carbon sequestration under drought
Schäfer, E., Ajmera, I., Farcot, E., Owen, M. R., Band, L. R., & Lynch, J. P. (2022) · Frontiers in Plant Science · doi:10.3389/fpls.2022.1010165 · Cited by 15
Developing improved varieties of pigeonpea
Emirates, U. A., Saxena, K. B., Chauhan, Y. S., Kumar, C. V. S., Hingane, A. J., Kumar, R. V., Saxena, R. K., & Rao, G. V. R. (2018) · Burleigh Dodds series in agricultural science · doi:10.19103/as.2017.0023.33 · Cited by 15
Biomass and nutrient accumulation rates of rice cultivars differing in their growth duration when grown in fertile and low-fertile soils
Suriyagoda, L. D. B., Sirisena, D., Kekulandara, D. S., Bandaranayake, P. C. G., Samarasinghe, G. W. L., & Wissuwa, M. (2019) · Journal of Plant Nutrition · doi:10.1080/01904167.2019.1676903 · Cited by 15
Effect of moisture stress on sorghum yield and its components
Wenzel, W. G. (1999) · South African Journal of Plant and Soil · doi:10.1080/02571862.1999.10635002 · Cited by 15
INNOVATION IN PLANT-GREENHOUSE INTERACTIONS AND CROP MANAGEMENT
Heuvelink, E., & González-Real, M. M. (2008) · Acta Horticulturae · doi:10.17660/actahortic.2008.801.2 · Cited by 15
Evaluation and prediction of corn stover biomass and composition from commercially available corn hybrids
Barten, T. (2013) · doi:10.31274/etd-180810-3414 · Cited by 15
Leveraging a graft collection to develop metabolome-based trait prediction for the selection of tomato rootstocks with enhanced salt tolerance
Song, C., Acuña, T., Adler-Agmon, M., Rachmilevitch, S., Barak, S., & Fait, A. (2022) · Horticulture Research · doi:10.1093/hr/uhac061 · Cited by 14
Genome edited zm-D8 reduced stature maize hybrids have improved climate resilience and competitive yields
Weers, B. P., Phillips, J., Niu, X., Schussler, J. R., & Habben, J. E. (2024) · Field Crops Research · doi:10.1016/j.fcr.2024.109527 · Cited by 14
Screening Upland Rice Genotypes for Manganese‐use Efficiency
Fageria, N. K., Filho, M. P. B., & Moreira, A. (2008) · Communications in Soil Science and Plant Analysis · doi:10.1080/00103620802432790 · Cited by 14
Individual and combined effects of ethylenediurea (EDU) and elevated carbon dioxide (ECO₂), on two rice (Oryza sativa L.) cultivars under ambient ozone
Surabhi, S., Gupta, S. K., Pande, V., & Pandey, V. (2020) · Environmental Advances · doi:10.1016/j.envadv.2020.100025 · Cited by 14
Common Bean and Cowpea
Aragão, F. J. L., & Campos, F. (2007) · Biotechnology in agriculture and forestry · doi:10.1007/978-3-540-36752-9_14 · Cited by 14
Nitrogen and phosphorus in senescent leaves of field-grown common bean cultivars and their contribution to crop nutrient budget
Araújo, A. P., Pin, B. D., & Teixeira, M. G. (2011) · Field Crops Research · doi:10.1016/j.fcr.2011.11.009 · Cited by 14
The effect of fertiliser P on crop biomass production, partitioning, and quality in ‘Challenger’ sweet corn
Fletcher, A. L., Moot, D. J., & Stone, P. J. (2006) · Australian Journal of Agricultural Research · doi:10.1071/ar06020 · Cited by 14
Breeding of Hemp ( Cannabis sativa )
Smart, L. B., Toth, J. A., Stack, G. M., Monserrate, L. A., & Smart, C. D. (2022) · Plant breeding reviews · doi:10.1002/9781119874157.ch5 · Cited by 14
Estimation of Watermelon Nutrient Requirements Based on the QUEFTS Model
Kang, F., Wang, Z., Xiong, H., Li, Y., Wang, Y., Fan, Z., Zhao, H., Kuang, D., Chen, Z., Wang, J., et al. (2020) · Agronomy · doi:10.3390/agronomy10111776 · Cited by 13
Little heterosis found in diploid hybrid potato: The genetic underpinnings of a new hybrid crop
Adams, J. R., de Vries, M. E., Zheng, C., & van Eeuwijk, F. A. (2022) · G3 Genes Genomes Genetics · doi:10.1093/g3journal/jkac076 · Cited by 13
A lightweight SIF-based crop yield estimation model: A case study of Australian wheat
Xue, J., HUETE, A. R., Liu, Z., Gao, S., & Lü, X. (2025) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2025.110439 · Cited by 13
Transgenic Corn Rootworm Protection Enhances Uptake and Post‐Flowering Mineral Nutrient Accumulation
Bender, R. R., Haegele, J. W., Ruffo, M. L., & Below, F. E. (2013) · Agronomy Journal · doi:10.2134/agronj2013.0230 · Cited by 13
Identification of Ideal Allele Combinations for the Adaptation of Spring Barley to Northern Latitudes
Göransson, M., Hallsson, J. H., Lillemo, M., Orabi, J., Backes, G., Jahoor, A., Hermannsson, J., Christerson, T., Tuvesson, S., Gertsson, B., et al. (2019) · Frontiers in Plant Science · doi:10.3389/fpls.2019.00542 · Cited by 13
Transcriptome and Small RNA Sequencing Reveal the Mechanisms Regulating Harvest Index in Brassica napus
Zhang, C., Chang, W., Li, X., Yang, B., Zhang, L., Xiao, Z., Li, J., & Lu, K. (2022) · Frontiers in Plant Science · doi:10.3389/fpls.2022.855486 · Cited by 13
Energetic considerations for engineering novel biochemistries in photosynthetic organisms
Strand, D. D., & Walker, B. J. (2023) · Frontiers in Plant Science · doi:10.3389/fpls.2023.1116812 · Cited by 13
Assessment of the changes in seed yield and nutritional quality of quinoa grown under rainfed Mediterranean environments
Matías, J., Rodríguez, M. J., Cruz, V., Calvo, P., Granado‐Rodríguez, S., Poza‐Viejo, L., Fernández‐García, N., Olmos, E., & Reguera, M. (2023) · Frontiers in Plant Science · doi:10.3389/fpls.2023.1268014 · Cited by 13
A comparison of harvest index estimation methods of winter wheat based on field measurements of biophysical and spectral data
Li, H., Luo, Y., Xue, X., Zhao, Y., Zhao, H., & Li, F. (2011) · Biosystems Engineering · doi:10.1016/j.biosystemseng.2011.05.005 · Cited by 13
Reduction in greenhouse gas emissions due to the use of bio-ethanol from wheat grain and straw produced in the south-eastern USA
Persson, T., y García, A. G., Paz, J. O., Fraisse, C. W., & Hoogenboom, G. (2010) · The Journal of Agricultural Science · doi:10.1017/s0021859610000316 · Cited by 13
New Breeding Techniques for Sustainable Agriculture
Gentile, A., & Malfa, S. G. L. (2019) · Springer eBooks · doi:10.1007/978-3-030-23169-9_13 · Cited by 13
Managing Legume and Fertiliser N for Northern Grains Cropping
HERRIDGE, D. F. (2011) · RUNE (Research UNE) · Cited by 13
Elevated growth redundancy and size inequality in spring wheat populations mulched with clear plastic film
Pan, X., Wang, G. X., Chen, J. K., & Wei, X. (2003) · The Journal of Agricultural Science · doi:10.1017/s002185960300296x · Cited by 13
Converting simulated total dry matter to fresh marketable yield for field vegetables at a range of nitrogen supply levels
Nendel, C., Schmutz, U., Venezia, A., Piro, F., & Rahn, C. R. (2009) · Plant and Soil · doi:10.1007/s11104-009-0015-0 · Cited by 13
Cereal progenitors differ in stand harvest characteristics from related wild grasses
Preece, C., Clamp, N., Warham, G., Charles, M., Rees, M., Jones, G., & Osborne, C. P. (2017) · Journal of Ecology · doi:10.1111/1365-2745.12905 · Cited by 13
Spatial patterns and key driving factors of wheat harvest index under irrigation and rainfed conditions in arid regions
Chen, Y., Wutanbieke, H., Zhong, D., Jian, C., Huo, Z., & Dong, H. (2025) · Frontiers in Plant Science · doi:10.3389/fpls.2025.1614204 · Cited by 13
A broader perspective on plant domestication and nutrient and carbon cycling
Cornwell, W. K., & Cornelissen, J. H. C. (2013) · New Phytologist · doi:10.1111/nph.12219 · Cited by 12
Variabilidade dos índices de colheita de nutrientes em genótipos de feijoeiro e sua relação com a produção de grãos
Araújo, A. P., & Teixeira, M. G. (2012) · Revista Brasileira de Ciência do Solo · doi:10.1590/s0100-06832012000100015 · Cited by 12
Temporal Dynamics and the Contribution of Plant Organs in a Phenotypically Diverse Population of High-Yielding Winter Wheat: Evaluating Concepts for Disentangling Yield Formation and Nitrogen Use Efficiency
Prey, L., Hu, Y., & Schmidhalter, U. (2019) · Frontiers in Plant Science · doi:10.3389/fpls.2019.01295 · Cited by 12
Can nutrient‐utilization efficiency be improved by reduced fertilizer supply to maize plants treated with the plant growth regulator paclobutrazol?
Hütsch, B. W., & Schubert, S. (2021) · Journal of Agronomy and Crop Science · doi:10.1111/jac.12521 · Cited by 12
Estimating Nutrient Uptake Requirements for Melon Based on the QUEFTS Model
Wen, M., Yang, S., Lin, H., He, P., Xu, X., Wang, C.-B., Zhang, Y., & Zhou, W. (2022) · Agronomy · doi:10.3390/agronomy12010207 · Cited by 12
Grain size modulates volcanic ash retention on crop foliage and potential yield loss
Ligot, N., Bogaert, P., Biass, S., Lobet, G., & Delmelle, P. (2023) · Natural hazards and earth system sciences · doi:10.5194/nhess-23-1355-2023 · Cited by 12
Analyzing diversification possibilities on specialized tobacco farms in Argentina using a bio-economic farm model
Chavez, M. D., Berentsen, P. B. M., & Lansink, A. O. (2014) · Agricultural Systems · doi:10.1016/j.agsy.2014.03.009 · Cited by 12
Changes in Phosphorus Requirement with Increasing Grain Yield for Winter Wheat
Zhan, A., Chen, X., Li, S., & Cui, Z. (2015) · Agronomy Journal · doi:10.2134/agronj15.0089 · Cited by 12
DRY MATTER ACCUMULATION AND PARTITIONING IN VARIOUS FRACTIONS OF COTTON BOLLS
Tang, F., & Xiao, W. (2013) · Experimental Agriculture · doi:10.1017/s001447971300029x · Cited by 12
Food and bioenergy: Exploring ideotype traits of a dual-purpose wheat cultivar
Townsend, T. J., Roy, J., Wilson, P. N., Tucker, G. A., & Sparkes, D. L. (2016) · Field Crops Research · doi:10.1016/j.fcr.2016.11.007 · Cited by 14
Effects of nitrogen availability on the biomass and nitrogen partitioning in Brussels sprouts (Brassica oleraceavar.gemmifera)
Booij, R., Kreuzer, A. D. H., Smit, A. L., & van der Werf, A. (1997) · Journal of Horticultural Science · doi:10.1080/14620316.1997.11515515 · Cited by 12
Modelling economic and biophysical drivers of agricultural land-use change. Calibration and evaluation of the Nexus Land-Use model over 1961–2006Preprint
Souty, F., Dorin, B., Brunelle, T., Dumas, P., & Ciais, P. (2013) · doi:10.5194/gmdd-6-6975-2013 · Cited by 12
Yield dissection models to improve yield: a case study in tomato
Tsutsumi-Morita, Y., Heuvelink, E., Khaleghi, S., Bustos‐Korts, D., Marcelis, L. F. M., Vermeer, K. M. C. A., van Dijk, H., Millenaar, F. F., van Voorn, G. A. K., & van Eeuwijk, F. A. (2021) · in silico Plants · doi:10.1093/insilicoplants/diab012 · Cited by 11
Modeling biomass and yield production based on nitrogen accumulation in soybean grown in upland fields converted from paddy fields in Japan
Nakano, S., Homma, K., & Shiraiwa, T. (2021) · Plant Production Science · doi:10.1080/1343943x.2021.1881409 · Cited by 11
Study on the calculating methodology of the collectible straw resources for biomass power plants based on the indirect measurement
Teng, J., & Wang, P. (2022) · Sustainable Energy Technologies and Assessments · doi:10.1016/j.seta.2022.102259 · Cited by 11
Organic selection may improve yield efficiency in spring wheat: A preliminary analysis.
Wiebe, L., Fox, S. L., & Entz, M. H. (2016) · Canadian Journal of Plant Science · doi:10.1139/cjps-2016-0141 · Cited by 11
Genome-Wide Identification and Expression Profiling of Monosaccharide Transporter Genes Associated with High Harvest Index Values in Rapeseed (Brassica napus L.)
Zhang, L., Zhang, C., Yang, B., Xiao, Z., Ma, J., Liu, J., Jian, H., Qu, C., Lu, K., & Li, J. (2020) · Genes · doi:10.3390/genes11060653 · Cited by 11
Evaluation of Late-Season Short- and Long-Duration Rice Cultivars for Potential Yield under Mechanical Transplanting Conditions
Chen, J., Zhang, R., Cao, F., Yin, X., Zou, Y., Huang, M., & Abou‐Elwafa, S. F. (2020) · Agronomy · doi:10.3390/agronomy10091307 · Cited by 11
Phenotypic plasticity in rice: responses to fertilization and inoculation with arbuscular mycorrhizal fungi
Zhang, S., Wang, L., Ma, F., Yang, J., & Atkin, O. K. (2015) · Journal of Plant Ecology · doi:10.1093/jpe/rtv031 · Cited by 11
Estimating crop-specific evapotranspiration using remote-sensing imagery at various spatial resolutions for improving crop growth modelling
Sepulcre-Cantó, G., Gellens-Meulenberghs, F., Arboleda, A., Duveiller, G., de Wit, A. J. W., Eerens, H., Djaby, B., & Defourny, P. (2012) · International Journal of Remote Sensing · doi:10.1080/01431161.2012.716911 · Cited by 11
A goal programming approach for balancing diet costs and feed water use under different environmental conditions
Qu, J., Hsiao, T. C., DePeters, E. J., Zaccaria, D., Snyder, R. L., & Fadel, J. G. (2019) · Journal of Dairy Science · doi:10.3168/jds.2019-16543 · Cited by 11
Characterization and Molecular Mapping of Drought Tolerance in Kabuli Chickpea (Cicer arietinum L.)
Rehman, A. U. (2009) · University Library - University of Saskatchewan (University of Saskatchewan) · Cited by 11
Wheat Yield Prediction Using Unmanned Aerial Vehicle RGB-Imagery-Based Convolutional Neural Network and Limited Training Samples
Ma, J., Wu, Y., Liu, B., Zhang, W., Wang, B., Chen, Z., Wang, G., & Guo, A. (2023) · Remote Sensing · doi:10.3390/rs15235444 · Cited by 10
Insights into the potential of potato production across Europe
van Loon, M. P., Alimagham, S., Abuley, I. K., Boogaard, H., Boguszewska‐Mańkowska, D., de Galarreta, J. I. R., Geling, E., Kryvobok, О., Kryvoshein, О., Landeras, G., et al. (2025) · Crop and Environment · doi:10.1016/j.crope.2025.03.002 · Cited by 10
Soil organic carbon fractions influenced by organic input diversity and tillage frequency after 25 years in Mid-Atlantic US grain cropping systems
Boniface, H. S., Cavigelli, M. A., White, K. E., Thapa, R., Smith, S., Mirsky, S. B., & Tully, K. L. (2025) · Agriculture Ecosystems & Environment · doi:10.1016/j.agee.2025.109869 · Cited by 11
Space Agriculture: A Comprehensive Systems-Level Review of Challenges and Opportunities
Fazayeli, H., Daigh, A. L. M., Palmer, C., Pitla, S. K., Jones, D., & Ge, Y. (2025) · Agriculture · doi:10.3390/agriculture15242541 · Cited by 11
Genome-Wide Association Analyses Reveal Candidate Genes Controlling Harvest Index and Related Agronomic Traits in Brassica napus L.
Qin, M., Song, J., Guo, N., Zhang, M., Zhu, Y., Huang, Z., & Xu, A. (2022) · Agronomy · doi:10.3390/agronomy12040814 · Cited by 10
Bioclimatic modeling and FACE study forecast a bleak future for wheat production in India
Naaz, S., Rai, R., Adhikari, D., Kannaujia, R., Jamal, R., Ansari, M. A., Ansari, M. I., Pandey, V., & Barik, S. K. (2022) · Environmental Monitoring and Assessment · doi:10.1007/s10661-022-10551-5 · Cited by 10
Revisiting yield in terms of phloem transport to grains suggests phloem sap movement might be homeostatic
Tcherkez, G. G. B., Holloway‐Phillips, M., Lothier, J., Limami, A. M., & Ball, M. C. (2023) · Plant Cell & Environment · doi:10.1111/pce.14646 · Cited by 10
Maize breeding effects on grain yield genetic progress and its contribution to global yield gain in Argentina
Amas, J. I., Curín, F., D’Andrea, K. E., Luque, S. F., & Otegui, M. E. (2024) · Field Crops Research · doi:10.1016/j.fcr.2024.109520 · Cited by 10
Selection criteria for yield potential in a large collection of Vigna radiata (L.) accessions
Tahir, A., Ilyas, M. K., Sardar, M. M., Pouya, A. K., Rasouli, F., Bibi, A., Jabeen, Z., Sajjad, M., Siddiqui, S. U., & Ghafoor, A. (2020) · Euphytica · doi:10.1007/s10681-020-02675-x · Cited by 12
Ethylenediurea (EDU) mediated protection from ambient ozone-induced oxidative stress in wheat (Triticum aestivum L.) under a high CO2 environment
Surabhi, S., Pande, V., & Pandey, V. (2022) · Atmospheric Pollution Research · doi:10.1016/j.apr.2022.101503 · Cited by 10
Analysis of Genetic Parameters and Trait Relationship for Seed Yield and its Attributing Components in Lentil (Lens culinaris Medik.)
Sharma, R., Chaudhary, L., Kumar, M., & Panwar, N. (2022) · Legume Research - An International Journal · doi:10.18805/lr-4969 · Cited by 10
The Effects of Transplant in Sweet Maize (Zea mays L.).I. Growth and Yield*
Rattín, J. E., ., A. D. B., & ., T. G. (2010) · International Journal of Agricultural Research · doi:10.3923/ijar.2010.403.412 · Cited by 10
Variability of grain yield components of some new winter wheat genotypes (Triticum aestivum L.)
Sabo, M., Bede, M., & Ugarčić-Hardi, Ž. (2002) · Plant Soil and Environment · doi:10.17221/4231-pse · Cited by 10
Grain carbon isotope composition is a marker for allocation and harvest index in wheat
Domergue, J., Abadie, C., Lalande-Martin, J., Deswarte, J., Ober, E. S., Laurent, V., Zimmerli, C., Lerebour, P., Duchalais, L., Bédard, C., et al. (2022) · Plant Cell & Environment · doi:10.1111/pce.14339 · Cited by 9
Effetti del miglioramento genetico sul frumento duro prodotto in Italia nel XX secolo
Vita, P. D., Matteu, L., Mastrangelo, A. M., di Fonzo, N., & Cattivelli, L. (2007) · Italian Journal of Agronomy · doi:10.4081/ija.2007.4s.451 · Cited by 10
Yield Increase as Influenced by Transplanting of Sweet Maize (Zea mays L. saccharata)
Andonova, P. (2014) · Journal of Experimental Agriculture International · doi:10.9734/ajea/2014/11077 · Cited by 9
Influence of Nitrogen on Growth, Yield, and Yield Components and Nitrogen Uptake and Use Efficiency in Dry Bean Genotypes
Fageria, N. K., Melo, L. C., & Carvalho, M. C. S. (2015) · Communications in Soil Science and Plant Analysis · doi:10.1080/00103624.2015.1081696 · Cited by 9
Traits Associated For Adaptation To Water Limited Environment Of Cereal Crops A Review Of Literature
Kulathunga, M. R. D. L. (2013) · International journal of scientific and technology research · Cited by 9
Response to early generation selection for grain yield and harvest index in bread wheat (T, aestivum L.)
Borghi, B., Accerbi, M., & Corbellini, M. (1998) · Plant Breeding · doi:10.1111/j.1439-0523.1998.tb01440.x · Cited by 9
The UK bio-energy resource base to 2050: estimates, assumptions, and uncertainties
Slade, R., Bauen, A., & Gross, R. (2010) · Spiral (Imperial College London) · doi:10.25561/6020 · Cited by 9
Corrigendum to "Incorporation of crop phenology in Simple Biosphere Model (SiBcrop) to improve land-atmosphere carbon exchanges from croplands" published in Biogeosciences, 6, 969–986, 2009
Lokupitiya, E., Denning, S., Paustian, K. H., Baker, I., Schaefer, K. M., Verma, S. B., Meyers, T. P., Bernacchi, C. J., Suyker, A. E., & Fischer, M. L. (2009) · Biogeosciences · doi:10.5194/bg-6-1103-2009 · Cited by 9
Impact of loosening and straw addition to the subsoil on crop performance and nitrogen leaching: A lysimeter study
Getahun, G. T., Bergström, L., Rychel, K., Kätterer, T., & Kirchmann, H. (2021) · Journal of Environmental Quality · doi:10.1002/jeq2.20231 · Cited by 8
Responses of winter wheat genotypes to reduced rainfall, nitrogen fertilization and pre-crops in Switzerland
Bongiovani, P. D. F., Frossard, E., Júnior, R. D. S. N., Asseng, S., Vuille‐dit‐Bille, N., Burton, A. B., & Herrera, J. M. (2024) · Field Crops Research · doi:10.1016/j.fcr.2024.109272 · Cited by 8
Continuous Storage Root Formation and Bulking in Sweetpotato
Bararyenya, A., Tukamuhabwa, P., Gibson, P., Grüneberg, W. J., Ssali, R., Low, J. W., Odong, T. L., Ochwo‐Ssemakula, M., Talwana, H. L., Mwila, N., et al. (2019) · Gates Open Research · doi:10.12688/gatesopenres.12895.2 · Cited by 8
TILLING by sequencing (TbyS) reveals mutations in flowering control genes that are associated with altered plant architecture in Mungbean (Vigna radiata (L.) R. Wilczek)
Varadaraju, A., Ramadoss, B. R., Gurunathan, S., Balraj, R., Ganesamurthy, K., & Ram, S. G. (2020) · Genetic Resources and Crop Evolution · doi:10.1007/s10722-020-01028-w · Cited by 8
Antixenosis, Antibiosis, and Potential Yield Compensatory Response in Barley Cultivars Exposed to Wheat Stem Sawfly (Hymenoptera: Cephidae) Under Field Conditions
Achhami, B. B., Reddy, G. V. P., Sherman, J., Peterson, R. K. D., & Weaver, D. K. (2020) · Journal of Insect Science · doi:10.1093/jisesa/ieaa091 · Cited by 8
Physiological breeding for yield improvement in soybean: solar radiation interception-conversion, and harvest index
Lopez, M. A., Moreira, F. F., Hearst, A., Cherkauer, K. A., & Rainey, K. M. (2022) · Theoretical and Applied Genetics · doi:10.1007/s00122-022-04048-5 · Cited by 10
Variability in Agricultural and Biological Yields of 10MusaGenotypes Evaluated for Two Cropping Cycles in a Sub-Humid Environment of Nigeria
Baiyeri, K. P., & Tenkouano, A. (2008) · Journal of Crop Improvement · doi:10.1300/j411v21n01_03 · Cited by 8
Nitrogen Fertilizer Influenced Harvest Index of Plantain (MusaAAB, cv. Agbagba) in a Sub-Humid Zone of Southeastern Nigeria
Baiyeri, K. P. (2002) · Journal of Sustainable Agriculture · doi:10.1300/j064v20n01_09 · Cited by 8
The role of arbuscular mycorrhizal fungi in sustainable tomato production.
Martin, A. W. (2007) · Adelaide Research & Scholarship (AR&S) (University of Adelaide) · Cited by 8
Carbohydrate Metabolism
Fernie, A. R., & Willmitzer, L. (2004) · Wiley eBooks · doi:10.1002/0470869143.kc025 · Cited by 8

Authors: HAY, R. K. M.
Affiliations: Scottish Agricultural Science Agency (GB)
Corresponding author: HAY, R K M
Venue: Annals of Applied Biology
Publisher: Wiley
Published: 1995-02
Volume: 126
Issue: 1
Pages: 197-216
ISSN: 0003-4746 (ISSN-L)
1744-7348
DOI: 10.1111/j.1744-7348.1995.tb05015.x
OpenAlex: W2118692586
Cited by: 686
References: 91
Citations by year: 2026: 30 · 2025: 45 · 2024: 31 · 2023: 30 · 2022: 45 · 2021: 85 · 2020: 45 · 2019: 40 · 2018: 26 · 2017: 31 · 2016: 26 · 2015: 36 · 2014: 21 · 2013: 23 · 2012: 22
FWCI: 3.06
Type: journal article
Language: en
Open access: closed
Licence: onlinelibrary.wiley.com/termsAndConditions#vor (vor, 4773 d)
Locations: Annals of Applied Biology (publishedVersion)
Topics: Life Sciences › Agricultural and Biological Sciences › Plant Science › Genetics and Plant Breeding
Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Crop Yield and Soil Fertility
Life Sciences › Agricultural and Biological Sciences › Plant Science › Wheat and Barley Genetics and Pathology
Keywords: harvest index, grain yield, crop physiology, plant breeding, wheat, barley, rice, maize, pulses, heritability, biomass production, nitrogen harvest index, biomass allocation, yield potential, climate change

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Harvest index: a review of its use in plant breeding and crop physiology.

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks