Yield determination, interplay between major components and yield stability in a traditional and a contemporary wheat across a wide range of environments

Ferrante, Ariel; Cartelle, Julia; Savin, Roxana; Slafer, Gustavo A.

doi:10.1016/j.fcr.2016.12.028

Cited by 91 publications

(67 citation statements)

References 81 publications

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“…This result also concurs with the idea that an improved yield potential (that can only be selected for in high-yielding conditions) would bring about improved performance under a range of environments with different degrees of stressful conditions; even though they would be less stable (as high yield potential implies strong responsiveness to better growing conditions; they might also perform better than lower-yield potential cultivars (Richards, 2000;Araus et al, 2008;Cattivelli et al, 2008;Ferrante et al, 2017). Indeed, wheats selected in CIMMYT for their high yield potential were released in drought environments (van Ginkel et al, 1998).…”

Section: Relevance Of Yield Determining Traits In the Response Of Whesupporting

confidence: 85%

Physiological Basis of Genotypic Response to Management in Dryland Wheat

et al. 2020

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A great majority of dryland wheat producers are reluctant to intensify management due to the assumption that lack of water availability is the most critical factor limiting yield and thus, the response to management intensification would be limited. We conducted onfarm field experiments across three locations and two growing seasons in Kansas using 21 modern winter wheat genotypes grown under either standard (SM) or intensified management (IM) systems. The goals of this study were to (i) determine whether the SM adopted is adequate to reach achievable yields by farmers in the region and (ii) identify differences in responsiveness to IM among a range of modern genotypes. Across all sitesyears and genotypes, the IM increased yield by 0.9 Mg ha-1 , outyielding the SM system even in the lowest yielding conditions. As expected, the yield response to IM increased with the achievable yield of the environment and genotype. Across all sources of variation, the yield responsiveness to IM was related to increased biomass rather than harvest index, strongly driven by improvements in grain number (and independent of changes in grain weight), and by improvements in N uptake which resulted from greater biomass and shoot N concentration. The IM system generally also increased grain N concentration and decreased the grain N dilution effect from increased yield. Genotypes varied in their response to IM, with major response patterns resulting from the combination of response magnitude (large vs. small) and consistency (variable vs. consistent). Genotypes with high mean response and high variability in the response to IM across years could offer greater opportunities for producers to maximize yield as those genotypes showed greater yield gain from IM when conditions favored their response. For the background conditions evaluated, intensifying management could improve wheat yield in between c. 0.2 and 1.5 Mg ha-1 depending on genotype.

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Section: Relevance Of Yield Determining Traits In the Response Of Whesupporting

confidence: 85%

Physiological Basis of Genotypic Response to Management in Dryland Wheat

et al. 2020

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“…As already exhaustively reviewed [6,[41][42][43][44], we observed robust negative relationships between the main yield components in all four environments. The grain set trade-off was apparent in the negative relationship between the number of spikes per m 2 (SPM2) and the number of grains per spike (GPS).…”

Section: Representativity Of the Environments Studiedsupporting

confidence: 63%

Wheat individual grain-size variance originates from crop development and from specific genetic determinism

et al. 2020

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Wheat grain yield is usually decomposed in the yield components: number of spikes / m 2 , number of grains / spike, number of grains / m 2 and thousand kernel weight (TKW). These are correlated one with another due to yield component compensation. Under optimal conditions, the number of grains per m 2 has been identified as the main determinant of yield. However, with increasing occurrences of post-flowering abiotic stress associated with climate change, TKW may become severely limiting and hence a target for breeding. TKW is usually studied at the plot scale as it represents the average mass of a grain. However, this view disregards the large intra-genotypic variance of individual grain mass and its effect on TKW. The aim of this study is to investigate the determinism of the variance of individual grain size. We measured yield components and individual grain size variances of two large genetic wheat panels grown in two environments. We also carried out a genome-wide association study using a dense SNPs array. We show that the variance of individual grain size partly originates from the pre-flowering components of grain yield; in particular it is driven by canopy structure via its negative correlation with the number of spikes per m 2. But the variance of final grain size also has a specific genetic basis. The genome-wide analysis revealed the existence of QTL with strong effects on the variance of individual grain size, independently from the other yield components. Finally, our results reveal some interesting drivers for manipulating individual grain size variance either through canopy structure or through specific chromosomal regions.

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“…Breeding efforts in raising grain yield have mainly focused on increasing grain number per unit area (Austin 1982;Slafer and Andrade 1989;Slafer et al 1990), as this continues to be the component that best explains yield variation (Slafer et al 1990;Abbate et al 1998;Borrás et al 2004;Shearman et al 2005;Elía et al 2016;Ferrante et al 2017;Lynch et al 2017). However, grain number per unit area is a difficult trait to select for in early generations of a breeding program, in which little seed is available for accurately assessing traits on a per unit area basis.…”

Section: Introductionmentioning

confidence: 99%

Selection for high spike fertility index increases genetic progress in grain yield and stability in bread wheat

et al. 2018

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Spike fertility index (SF) has been proposed as a promising trait to be used as a selection criterion in wheat breeding programs aimed at increasing grain yield, but no actual evidence of its successful application has been reported. In this study, 146 recombinant inbred lines derived from a cross between 'Baguette 10' and 'Klein Chajá', Argentinean spring bread wheat cultivars with contrasting SF, were evaluated during three crop seasons (2013, 2014 and 2015) at Balcarce, Argentina. Grain yield, grain number/m 2 , grain weight, and SF were measured at maturity. Changes in grain yield (i.e., responses to selection) after application of different selection strategies, including different selection criteria and selection intensities, were determined. Significant correlations were observed between grain number and grain yield, SF and grain yield, and SF and grain weight. Analysis of SF variance components showed a significant genotype 9 environment interaction, but it represented only 9% of the total variation, whereas 51% of the variation was genetic, resulting in a high narrow-sense heritability (0.84). The use of SF as a selection criterion, either solely or in combination with selection for high yield, increased yield, resulting in higher and more stable yields than if selecting for high yield alone. Our findings support the use of spike fertility index as a selection criterion for increasing genetic progress and stability of yield in bread wheat breeding programs.

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Yield determination, interplay between major components and yield stability in a traditional and a contemporary wheat across a wide range of environments

Cited by 91 publications

References 81 publications

Physiological Basis of Genotypic Response to Management in Dryland Wheat

Physiological Basis of Genotypic Response to Management in Dryland Wheat

Wheat individual grain-size variance originates from crop development and from specific genetic determinism

Selection for high spike fertility index increases genetic progress in grain yield and stability in bread wheat

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