Register      Login
Crop and Pasture Science Crop and Pasture Science Society
Plant sciences, sustainable farming systems and food quality
RESEARCH ARTICLE

Genetic analysis of maize grain yield components and physiological determinants under contrasting nitrogen availability

Ignacio R. Hisse https://orcid.org/0000-0002-5167-9557 A B * , Karina E. D’Andrea A B and María E. Otegui A C
+ Author Affiliations
- Author Affiliations

A Departamento de Producción Vegetal, Facultad de Agronomía, Universidad de Buenos Aires, Avenida San Martín 4453, Ciudad de Buenos Aires C1417DSE, Argentina.

B Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ciudad de Buenos Aires, Argentina.

C Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) en INTA, Centro Regional Buenos Aires Norte, Estación Experimental Agropecuaria, Ruta 32 km 4.5, Pergamino C2700, Provincia de Buenos Aires, Argentina.

* Correspondence to: hisse@agro.uba.ar

Handling Editor: Victor Sadras

Crop & Pasture Science 74(3) 182-193 https://doi.org/10.1071/CP22111
Submitted: 31 March 2022  Accepted: 22 June 2022   Published: 21 July 2022

© 2023 The Author(s) (or their employer(s)). Published by CSIRO Publishing

Abstract

Context: Most maize breeding is conducted under high-input conditions, with nitrogen supply being crucial due to its impact on yield.

Aims: This study aimed to investigate broad-sense heritability, and general and specific combining ability variances of physiological traits defining grain yield under contrasting soil nitrogen supply.

Methods: A six-parent full diallel cross was analysed under high (fertilised with 200 kg N/ha) and low (unfertilised control) nitrogen supply in two seasons. We measured kernel number per plant and kernel weight, the associated traits of plant growth during the critical and grain-filling periods, and source–sink relationships in both periods.

Key results: Heritabilities of traits ranged from 0.54 to 0.88, and general surpassed specific combining ability for most traits. At low nitrogen (1) the relative importance of general combining ability estimated by Baker’s ratio increased across traits (low nitrogen: 0.90 vs high: 0.85) because the decrease in combining ability variance was larger for specific than general (–78% vs −39%), and (2) source–sink relationship during grain filling had the highest Baker’s ratio (0.96) and heritability (0.78). Plant growth rates during the critical period and kernel number increased substantially at high nitrogen (40 and 34%, respectively), and they had the highest heritability (0.79 and 0.88) and Baker’s ratio (>0.90).

Conclusions: Low nitrogen environments increased the relative importance of general combining ability effects, and high yield can be obtained by improving the source–sink relationship during grain filling, whereas high nitrogen increased yield by improving plant growth rate during the critical period and kernel number.

Implications: Knowledge of source–sink relationship during effective filling period, plant growth during the critical period and kernel number may result in a more targeted selection program.

Keywords: additive genetic effects, corn crop, dominance genetic effects, F1 hybrid, full diallel mating design, maize breeding, plant grain yield, secondary attributes, soil nitrogen content.


References

Agrama HAS, Zakaria AG, Said FB, Tuinstra M (1999) Identification of quantitative trait loci for nitrogen use efficiency in maize. Molecular Breeding 5, 187–195.
Identification of quantitative trait loci for nitrogen use efficiency in maize.Crossref | GoogleScholarGoogle Scholar |

Ajala SO, Olaniyan AB, Olayiwola MO, Job AO (2018) Yield improvement in maize for tolerance to low soil nitrogen. Plant Breeding 137, 118–126.
Yield improvement in maize for tolerance to low soil nitrogen.Crossref | GoogleScholarGoogle Scholar |

Amas JI, Fernandez JA, Curin F, Cirilo AG, Ciampitti IA, Otegui ME (2022) Maize genetic progress in the central Pampas of Argentina: effects of contrasting sowing dates. Field Crops Research 281, 108492
Maize genetic progress in the central Pampas of Argentina: effects of contrasting sowing dates.Crossref | GoogleScholarGoogle Scholar |

Araus JL, Slafer GA, Reynolds MP, Royo C (2002) Plant breeding and drought in C3 cereals: what should we breed for? Annals of Botany 89, 925–940.
Plant breeding and drought in C3 cereals: what should we breed for?Crossref | GoogleScholarGoogle Scholar |

Araus JL, Slafer GA, Royo C, Serret MD (2008) Breeding for yield potential and stress adaptation in cereals. Critical Reviews in Plant Sciences 27, 377–412.
Breeding for yield potential and stress adaptation in cereals.Crossref | GoogleScholarGoogle Scholar |

Austin DF, Lee M (1998) Detection of quantitative trait loci for grain yield and yield components in maize across generations in stress and nonstress environments. Crop Science 38, 1296–1308.
Detection of quantitative trait loci for grain yield and yield components in maize across generations in stress and nonstress environments.Crossref | GoogleScholarGoogle Scholar |

Badu-Apraku B, Akinwale RO, Franco J, Oyekunle M (2012) Assessment of reliability of secondary traits in selecting for improved grain yield in drought and low-nitrogen environments. Crop Science 52, 2050–2062.
Assessment of reliability of secondary traits in selecting for improved grain yield in drought and low-nitrogen environments.Crossref | GoogleScholarGoogle Scholar |

Baker RJ (1978) Issues in diallel analysis. Crop Science 18, 533–536.
Issues in diallel analysis.Crossref | GoogleScholarGoogle Scholar |

Bänziger M, Cooper M (2001) Breeding for low input conditions and consequences for participatory plant breeding: examples from tropical maize and wheat. Euphytica 122, 503–519.
Breeding for low input conditions and consequences for participatory plant breeding: examples from tropical maize and wheat.Crossref | GoogleScholarGoogle Scholar |

Bänziger M, Lafitte HR (1997) Efficiency of secondary traits for improving maize for low-nitrogen target environments. Crop Science 37, 1110–1117.
Efficiency of secondary traits for improving maize for low-nitrogen target environments.Crossref | GoogleScholarGoogle Scholar |

Bänziger M, Betrán FJ, Lafitte HR (1997) Efficiency of high-nitrogen selection environments for improving maize for low-nitrogen target environments. Crop Science 37, 1103–1109.
Efficiency of high-nitrogen selection environments for improving maize for low-nitrogen target environments.Crossref | GoogleScholarGoogle Scholar |

Bänziger M, Edmeades GO, Beck DL, Bellon MR (2000) ‘Breeding for drought and nitrogen stress tolerance in maize: from theory to practice.’ (CIMMYT: Mexico City, Mexico)

Betrán FJ, Beck D, Bänziger M, Ribaut JM, Edmeades GO (1997) Breeding for drought tolerance in tropical maize. In ‘Genetics, biotechnology and breeding of maize and sorghum’. (Ed. AS Tsaftaris) pp. 169–177. (Royal Society of Chemistry: Cambridge, UK)

Betrán FJ, Beck D, Bänziger M, Edmeades GO (2003a) Genetic analysis of inbred and hybrid grain yield under stress and nonstress environments in tropical maize. Crop Science 43, 807–817.
Genetic analysis of inbred and hybrid grain yield under stress and nonstress environments in tropical maize.Crossref | GoogleScholarGoogle Scholar |

Betrán FJ, Beck D, Bänziger M, Edmeades GO (2003b) Secondary traits in parental inbreds and hybrids under stress and non-stress environments in tropical maize. Field Crops Research 83, 51–65.
Secondary traits in parental inbreds and hybrids under stress and non-stress environments in tropical maize.Crossref | GoogleScholarGoogle Scholar |

Betrán FJ, Ribaut JM, Beck D, Gonzalez de León D (2003c) Genetic diversity, specific combining ability, and heterosis in tropical maize under stress and nonstress environments. Crop Science 43, 797–806.
Genetic diversity, specific combining ability, and heterosis in tropical maize under stress and nonstress environments.Crossref | GoogleScholarGoogle Scholar |

Blum A (1988) ‘Plant breeding for stress environments.’ (CRC Press: Boca Raton, FL, USA)

Bodirsky B, Popp A, Lotze-Campen H, Dietrich JP, Rolinski S, Weindl I, Stevanovic M (2014) Reactive nitrogen requirements to feed the world in 2050 and potential to mitigate nitrogen pollution. Nature Communications 5, 3858
Reactive nitrogen requirements to feed the world in 2050 and potential to mitigate nitrogen pollution.Crossref | GoogleScholarGoogle Scholar |

Bonelli LE, Monzón JP, Cerrudo A, Rizzalli RH, Andrade FH (2016) Maize grain yield components and source-sink relationship as affected by the delay in sowing date. Field Crops Research 198, 215–225.
Maize grain yield components and source-sink relationship as affected by the delay in sowing date.Crossref | GoogleScholarGoogle Scholar |

Borrás L, Otegui ME (2001) Maize kernel weight response to postflowering source–sink ratio. Crop Science 41, 1816–1822.
Maize kernel weight response to postflowering source–sink ratio.Crossref | GoogleScholarGoogle Scholar |

Borrás L, Slafer GA, Otegui ME (2004) Seed dry weight response to source–sink manipulations in wheat, maize and soybean: a quantitative reappraisal. Field Crops Research 86, 131–146.
Seed dry weight response to source–sink manipulations in wheat, maize and soybean: a quantitative reappraisal.Crossref | GoogleScholarGoogle Scholar |

Covarrubias-Pazaran G (2016) Genome-assisted prediction of quantitative traits using the R package sommer. PLoS ONE 11, e0156744
Genome-assisted prediction of quantitative traits using the R package sommer.Crossref | GoogleScholarGoogle Scholar |

D’Andrea KE, Otegui ME, Cirilo AG, Eyhérabide G (2006) Genotypic variability in morphological and physiological traits among maize inbred lines – nitrogen responses. Crop Science 46, 1266–1276.
Genotypic variability in morphological and physiological traits among maize inbred lines – nitrogen responses.Crossref | GoogleScholarGoogle Scholar |

D’Andrea KE, Otegui ME, Cirilo AG, Eyhérabide GH (2009) Ecophysiological traits in maize hybrids and their parental inbred lines: phenotyping of responses to contrasting nitrogen supply levels. Field Crops Research 114, 147–158.
Ecophysiological traits in maize hybrids and their parental inbred lines: phenotyping of responses to contrasting nitrogen supply levels.Crossref | GoogleScholarGoogle Scholar |

D’Andrea KE, Otegui ME, Cirilo AG, Eyhérabide GH (2013) Parent-progeny relationships between maize inbreds and hybrids: analysis of grain yield and its determinants for contrasting soil nitrogen conditions. Crop Science 53, 2147–2161.
Parent-progeny relationships between maize inbreds and hybrids: analysis of grain yield and its determinants for contrasting soil nitrogen conditions.Crossref | GoogleScholarGoogle Scholar |

D’Andrea KE, Piedra CV, Mandolino CI, Bender R, Cerri AM, Cirilo AG, Otegui ME (2016) Contribution of reserves to kernel weight and grain yield determination in maize: phenotypic and genotypic variation. Crop Science 56, 697–706.
Contribution of reserves to kernel weight and grain yield determination in maize: phenotypic and genotypic variation.Crossref | GoogleScholarGoogle Scholar |

Duvick DN (2005) The contribution of breeding to yield advances in maize (Zea mays L.). Advances in Agronomy 86, 83–145.
The contribution of breeding to yield advances in maize (Zea mays L.).Crossref | GoogleScholarGoogle Scholar |

Edmeades GO, Bolaños J, Chapman SC, Lafitte HR, Bänziger M (1999) Selection improves drought tolerance in tropical maize populations: I. Gains in biomass, grain yield, and harvest index. Crop Science 39, 1306–1315.
Selection improves drought tolerance in tropical maize populations: I. Gains in biomass, grain yield, and harvest index.Crossref | GoogleScholarGoogle Scholar |

Ertiro BT, Olsen M, Das B, Gowda M, Labuschagne M (2020) Efficiency of indirect selection for grain yield in maize (Zea mays L.) under low nitrogen conditions through secondary traits under low nitrogen and grain yield under optimum conditions. Euphytica 216, 134
Efficiency of indirect selection for grain yield in maize (Zea mays L.) under low nitrogen conditions through secondary traits under low nitrogen and grain yield under optimum conditions.Crossref | GoogleScholarGoogle Scholar |

Eyhérabide GH, Nestares G, Hourquescos MJ (2006) Development of a heterotic pattern in orange flint maize. In ‘Plant breeding: the Arnel R Hallauer Internacional Symposium’. (Eds KR Lamkey, M Lee) pp. 368–379. (Blackwell Publishing: Ames, IA, USA)

Fukai S, Pantuwan G, Jongdee B, Cooper M (1999) Screening for drought resistance in rainfed lowland rice. Field Crops Research 64, 61–74.
Screening for drought resistance in rainfed lowland rice.Crossref | GoogleScholarGoogle Scholar |

Galloway JN, Aber JD, Erisman JW, Seitzinger SP, Howarth RW, Cowling EB, Cosby BJ (2003) The nitrogen cascade. BioScience 53, 341–356.
The nitrogen cascade.Crossref | GoogleScholarGoogle Scholar |

Gambín BL, Borrás L (2010) Resource distribution and the trade-off between seed number and seed weight: a comparison across crop species. Annals of Applied Biology 156, 91–102.
Resource distribution and the trade-off between seed number and seed weight: a comparison across crop species.Crossref | GoogleScholarGoogle Scholar |

Gambín BL, Borrás L, Otegui ME (2006) Source–sink relations and kernel weight differences in maize temperate hybrids. Field Crops Research 95, 316–326.
Source–sink relations and kernel weight differences in maize temperate hybrids.Crossref | GoogleScholarGoogle Scholar |

Gong W, Yan X, Wang J, Hu T, Gong Y (2009) Long-term manure and fertilizer effects on soil organic matter fractions and microbes under a wheat–maize cropping system in northern China. Geoderma 149, 318–324.
Long-term manure and fertilizer effects on soil organic matter fractions and microbes under a wheat–maize cropping system in northern China.Crossref | GoogleScholarGoogle Scholar |

Griffing B (1956) Concept of general and specific combining ability in relation to diallel crossing systems. Australian Journal of Biological Sciences 9, 463–493.
Concept of general and specific combining ability in relation to diallel crossing systems.Crossref | GoogleScholarGoogle Scholar |

Hallauer AR, Miranda JB (1988) ‘Quantitative genetics in maize breeding.’ 2nd edn. (The Iowa State Univ. Press: Ames, IA, USA)

Hallauer AR, Lamkey KR, Russell WA, White PR (1995) Registration of B99 and B100 inbred lines of maize. Crop Science 35, 1714–1715.
Registration of B99 and B100 inbred lines of maize.Crossref | GoogleScholarGoogle Scholar |

Harries M, Flower KC, Scanlan CA (2021) Sustainability of nutrient management in grain production systems of south-west Australia. Crop & Pasture Science 72, 197–212.
Sustainability of nutrient management in grain production systems of south-west Australia.Crossref | GoogleScholarGoogle Scholar |

Hatfield JL, Prueger JH (2004) Nitrogen over-use, under-use and efficiency. In ‘Proceedings of the 4th international crop science congress’. (Crop Science Publishing: Brisbane, Australia) Available at www.cropscience.org.au

Hisse IR, D’Andrea KE, Otegui ME (2019) Source-sink relations and kernel weight in maize inbred lines and hybrids: responses to contrasting nitrogen supply levels. Field Crops Research 230, 151–159.
Source-sink relations and kernel weight in maize inbred lines and hybrids: responses to contrasting nitrogen supply levels.Crossref | GoogleScholarGoogle Scholar |

Hisse IR, D’Andrea KE, Otegui ME (2021) Kernel weight responses to the photothermal environment in maize dent × flint and flint × flint hybrids. Crop Science 61, 1996–2011.
Kernel weight responses to the photothermal environment in maize dent × flint and flint × flint hybrids.Crossref | GoogleScholarGoogle Scholar |

Holland JB, Uhr DV, Jeffers D, Goodman MM (1998) Inheritance of resistance to southern corn rust in tropical-by-corn-belt maize populations. Theoretical and Applied Genetics 96, 232–241.
Inheritance of resistance to southern corn rust in tropical-by-corn-belt maize populations.Crossref | GoogleScholarGoogle Scholar |

Holland JB, Nyquist WE, Cervantez-Martinez CT (2003) Estimating and interpreting heritability for plant breeding: an update. In ‘Plant breeding reviews’. (Ed. J Janick) pp. 9–112. (John Wiley & Sons: Hoboken, NJ, USA) https://doi.org/10.1002/9780470650202.ch2

Jackson P, Robertson M, Cooper M, Hammer G (1996) The role of physiological understanding in plant breeding; from a breeding perspective. Field Crops Research 49, 11–37.
The role of physiological understanding in plant breeding; from a breeding perspective.Crossref | GoogleScholarGoogle Scholar |

Josue ADL, Brewbaker JL (2018) Diallel analysis of grain filling rate and grain filling period in tropical maize (Zea mays L.). Euphytica 214, 39
Diallel analysis of grain filling rate and grain filling period in tropical maize (Zea mays L.).Crossref | GoogleScholarGoogle Scholar |

Katsantonis N, Gagianas A, Sfakianakis J, Fotiadis N (1986) Inheritance of duration and rate of grain filling and their relationship to grain yield in maize. Plant Breeding 96, 115–121.

Lafitte HR, Edmeades GO (1994) Improvement for tolerance to low soil nitrogen in tropical maize I. Selection criteria. Field Crops Research 39, 1–14.
Improvement for tolerance to low soil nitrogen in tropical maize I. Selection criteria.Crossref | GoogleScholarGoogle Scholar |

Lafitte HR, Edmeades GO (1995) Association between traits in tropical maize inbred lines and their hybrids under high and low soil nitrogen. Maydica 40, 259–267.

Lafitte R, Blum A, Atlin G (2003) Using secondary traits to help identify drought-tolerant genotypes. In ‘Breeding rice for drought-prone environments’. (Eds KS Fischer, R Lafitte, S Fukai, G Atlin, B Hardy) pp. 14–22. (The International Rice Research Institute: Los Baños, Philippines)

Larièpe A, Moreau L, Laborde J, Bauland C, Mezmouk S, Décousset L, Mary-Huard T, Fiévet JB, Gallais A, Dubreuil P, Charcosset A (2017) General and specific combining abilities in a maize (Zea mays L.) test-cross hybrid panel: relative importance of population structure and genetic divergence between parents. Theoretical and Applied Genetics 130, 403–417.
General and specific combining abilities in a maize (Zea mays L.) test-cross hybrid panel: relative importance of population structure and genetic divergence between parents.Crossref | GoogleScholarGoogle Scholar |

Lee EA, Ash MJ, Good B (2007) Re-examining the relationship between degree of relatedness, genetic effects, and heterosis in maize. Crop Science 47, 629–635.
Re-examining the relationship between degree of relatedness, genetic effects, and heterosis in maize.Crossref | GoogleScholarGoogle Scholar |

Li X, Sun Z, Xu X, Li W-X, Zou C, Wang S, Xu Y, Xie C (2014) Kernel number as a positive target trait for prediction of hybrid performance under low-nitrogen stress as revealed by diallel analysis under contrasting nitrogen conditions. Breeding Science 64, 389–398.
Kernel number as a positive target trait for prediction of hybrid performance under low-nitrogen stress as revealed by diallel analysis under contrasting nitrogen conditions.Crossref | GoogleScholarGoogle Scholar |

Makumbi D, Betrán JF, Bänziger M, Ribaut J-M (2011) Combining ability, heterosis and genetic diversity in tropical maize (Zea mays L.) under stress and non-stress conditions. Euphytica 180, 143–162.
Combining ability, heterosis and genetic diversity in tropical maize (Zea mays L.) under stress and non-stress conditions.Crossref | GoogleScholarGoogle Scholar |

Mastrodomenico AT, Haegele JW, Seebauer JR, Below FE (2018) Yield stability differs in commercial maize hybrids in response to changes in plant density, nitrogen fertility, and environment. Crop Science 58, 230–241.
Yield stability differs in commercial maize hybrids in response to changes in plant density, nitrogen fertility, and environment.Crossref | GoogleScholarGoogle Scholar |

Matzinger DF, Sprague GF, Cockerham CC (1959) Diallel crosses of maize in experiments repeated over locations and years. Agronomy Journal 51, 346–350.
Diallel crosses of maize in experiments repeated over locations and years.Crossref | GoogleScholarGoogle Scholar |

Mercau JL, Otegui ME (2014) A modeling approach to explore water management strategies for late-sown maize and double-cropped wheat–maize in the rainfed Pampas region of Argentina. In ‘Practical applications of agricultural system models to optimize the use of limited water. Vol. 5’. (Eds LR Ahuja, L Ma, RJ Lascano) pp. 351–373. (American Society of Agronomy, Inc., Crop Science Society of America, Inc., Soil Science Society of America, Inc.: Madison, WI, USA) https://doi.org/10.2134/advagricsystmodel5.c13

Möhring J, Melchinger AE, Piepho HP (2011) REML-based diallel analysis. Crop Science 51, 470–478.
REML-based diallel analysis.Crossref | GoogleScholarGoogle Scholar |

Muchow RC (1988) Effect of nitrogen supply on the comparative productivity of maize and sorghum in a semi-arid tropical environment I. Leaf growth and leaf nitrogen. Field Crops Research 18, 1–16.
Effect of nitrogen supply on the comparative productivity of maize and sorghum in a semi-arid tropical environment I. Leaf growth and leaf nitrogen.Crossref | GoogleScholarGoogle Scholar |

Muchow RC (1990) Effect of high temperature on grain-growth in field-grown maize. Field Crops Research 23, 145–158.
Effect of high temperature on grain-growth in field-grown maize.Crossref | GoogleScholarGoogle Scholar |

Munaro EM, D’Andrea KE, Otegui ME, Cirilo AG, Eyherabide GH (2011) Heterotic response for grain yield and ecophysiological related traits to nitrogen availability in maize. Crop Science 51, 1172–1187.
Heterotic response for grain yield and ecophysiological related traits to nitrogen availability in maize.Crossref | GoogleScholarGoogle Scholar |

Rajcan I, Tollenaar M (1999) Source:sink ratio and leaf senescence in maize:II. Nitrogen metabolism during grain filling. Field Crops Research 60, 255–265.
Source:sink ratio and leaf senescence in maize:II. Nitrogen metabolism during grain filling.Crossref | GoogleScholarGoogle Scholar |

R Core Team (2018) ‘R: a language and environment for statistical computing.’ (R Foundation for Statistical Computing: Vienna, Austria)

Reynolds M, Condon AG, Rebetzke GJ, Richards RA (2004) Evidence for excess photosynthetic capacity and sink-limitation to yield and biomass in elite spring wheat. In ‘New directions for a diverse planet. Proceedings of the 4th International Crop Science Congress’. (Ed. T Fisher) (The Regional Institute Ltd: Gosford, NSW, Australia)

Reynolds MP, Pellegrineschi A, Skovmand B (2005) Sink-limitation to yield and biomass: a summary of some investigations in spring wheat. Annals of Applied Biology 146, 39–49.
Sink-limitation to yield and biomass: a summary of some investigations in spring wheat.Crossref | GoogleScholarGoogle Scholar |

Ritchie JT, NeSmith DS (1991) Temperature and crop development. In ‘Modelling plant and soil systems’. Agronomy Series 31. (Eds J Hanks, JT Ritchie) pp. 5–29. (ASA-CSSA-SSSA: Madison, WI, USA) https://doi.org/10.2134/agronmonogr31.c2

Ritchie SW, Hanway JJ, Benson GO (1992) ‘How a plant crop develops.’ (Iowa State University of Science and Technology, Cooperative Extension Service: Ames, IA, USA)

Rojas BA, Sprague GF (1952) A comparison of variance components in corn yield trials: III. General and specific combining ability and their interaction with locations and years. Agronomy Journal 44, 462–466.
A comparison of variance components in corn yield trials: III. General and specific combining ability and their interaction with locations and years.Crossref | GoogleScholarGoogle Scholar |

Rosielle AA, Hamblin J (1981) Theoretical aspects of selection for yield in stress and non-stress environment. Crop Science 21, 943–946.
Theoretical aspects of selection for yield in stress and non-stress environment.Crossref | GoogleScholarGoogle Scholar |

Rossini MA, Hisse IR, Otegui ME, D’Andrea KE (2020) Heterosis and parent–progeny relationships for silk extrusion dynamics and kernel number determination in maize: nitrogen effects. Crop Science 60, 961–976.
Heterosis and parent–progeny relationships for silk extrusion dynamics and kernel number determination in maize: nitrogen effects.Crossref | GoogleScholarGoogle Scholar |

Royo C, Nachit MM, Di Fonzo N, Araus JL, Pfeiffer WH, Slafer GA (Eds) (2005) ‘Durum wheat breeding: current approaches and future strategies. Vol. 1’. (Food Products Press: Binghamton, NY, USA)

Ruiz MB, D’Andrea KE, Otegui ME (2019) Phenotypic plasticity of maize grain yield and related secondary traits: differences between inbreds and hybrids in response to contrasting water and nitrogen regimes. Field Crops Research 239, 19–29.
Phenotypic plasticity of maize grain yield and related secondary traits: differences between inbreds and hybrids in response to contrasting water and nitrogen regimes.Crossref | GoogleScholarGoogle Scholar |

Sadras VO (2007) Evolutionary aspects of the trade-off between seed size and number in crops. Field Crops Research 100, 125–138.
Evolutionary aspects of the trade-off between seed size and number in crops.Crossref | GoogleScholarGoogle Scholar |

Sadras VO, Slafer GA (2012) Environmental modulation of yield components in cereals: heritabilities reveal a hierarchy of phenotypic plasticities. Field Crops Research 127, 215–224.
Environmental modulation of yield components in cereals: heritabilities reveal a hierarchy of phenotypic plasticities.Crossref | GoogleScholarGoogle Scholar |

Shahbaz M, Menichetti L, Kätterer T, Börjesson G (2019) Impact of long-term N fertilisation on CO2 evolution from old and young SOM pools measured during the maize cropping season. Science of The Total Environment 658, 1539–1548.
Impact of long-term N fertilisation on CO2 evolution from old and young SOM pools measured during the maize cropping season.Crossref | GoogleScholarGoogle Scholar |

Springmann M, Clark M, Mason-D’Croz D, Wiebe K, Bodirsky BL, Lassaletta L, Willett W (2018) Options for keeping the food system within environmental limits. Nature 562, 519–525.
Options for keeping the food system within environmental limits.Crossref | GoogleScholarGoogle Scholar |

Tamagno S, Greco IA, Almeida H, Borrás L (2015) Physiological differences in yield related traits between flint and dent Argentinean commercial maize genotypes. European Journal of Agronomy 68, 50–56.
Physiological differences in yield related traits between flint and dent Argentinean commercial maize genotypes.Crossref | GoogleScholarGoogle Scholar |

Tamagno S, Greco IA, Almeida H, Di Paola JC, Martí Ribes F, Borrás L (2016) Crop management options for maximizing maize kernel hardness. Agrononomy Journal 108, 1561–1570.
Crop management options for maximizing maize kernel hardness.Crossref | GoogleScholarGoogle Scholar |

Tester M, Langridge P (2010) Breeding technologies to increase crop production in a changing world. Science 327, 818–822.
Breeding technologies to increase crop production in a changing world.Crossref | GoogleScholarGoogle Scholar |

Tilman D, Cassman KG, Matson PA, Naylor R, Polasky S (2002) Agricultural sustainability and intensive production practices. Nature 418, 671–677.
Agricultural sustainability and intensive production practices.Crossref | GoogleScholarGoogle Scholar |

Tollenaar M, Lee EA (2006) Dissection of physiological processes underlying grain yield in maize by examining genetic improvement and heterosis. Maydica 51, 399–408.

Ud-Din N, Carver BF, Clutter AC (1992) Genetic analysis and selection for wheat yield in drought-stressed and irrigated environments. Euphytica 62, 89–96.
Genetic analysis and selection for wheat yield in drought-stressed and irrigated environments.Crossref | GoogleScholarGoogle Scholar |

Uhart SA, Andrade FH (1995) Nitrogen deficiency in maize: I. Effects on crop growth, development, dry matter partitioning, and kernel set. Crop Science 35, 1376–1383.
Nitrogen deficiency in maize: I. Effects on crop growth, development, dry matter partitioning, and kernel set.Crossref | GoogleScholarGoogle Scholar |

Vega CRC, Sadras VO, Andrade FH, Uhart SA (2000) Reproductive allometry in soybean, maize and sunflower. Annals of Botany 85, 461–468.
Reproductive allometry in soybean, maize and sunflower.Crossref | GoogleScholarGoogle Scholar |

Wang G, Kang MS, Moreno O (1999) Genetic analyses of grain-filling rate and duration in maize. Field Crops Research 61, 211–222.
Genetic analyses of grain-filling rate and duration in maize.Crossref | GoogleScholarGoogle Scholar |

Weber VS, Melchinger AE, Magorokosho C, Makumbi D, Bänziger M, Atlin GN (2012) Efficiency of managed-stress screening of elite maize hybrids under drought and low nitrogen for yield under rainfed conditions in southern Africa. Crop Science 52, 1011–1020.
Efficiency of managed-stress screening of elite maize hybrids under drought and low nitrogen for yield under rainfed conditions in southern Africa.Crossref | GoogleScholarGoogle Scholar |

Yao WH, Zhang YD, Kang MS, Chen HM, Liu L, Yu LJ, Fan XM (2013) Diallel analysis models: a comparison of certain genetic statistics. Crop Science 53, 1481–1490.
Diallel analysis models: a comparison of certain genetic statistics.Crossref | GoogleScholarGoogle Scholar |

Zhang X, Davidson EA, Mauzerall DL, Searchinger TD, Dumas P, Shen Y (2015) Managing nitrogen for sustainable development. Nature 528, 51–59.
Managing nitrogen for sustainable development.Crossref | GoogleScholarGoogle Scholar |