Climatic and Genotypic Effects for Grain Yield in Maize under Stress Conditions

Romay, M. Cinta; Malvar, R. A.; Campo, Laura; Álvarez, Ángel Carracedo; Moreno-González, J.; Ordás, A.; Revilla, Pedro

doi:10.2135/cropsci2008.12.0695

Cited by 37 publications

(20 citation statements)

References 27 publications

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“…The observed slow response per cycle of selection, probably refl ecting limited genetic variation in the specifi c population, might indicate low heritability but needs further investigation. Selection is expected to be more eff ective, corroborating our discussed preliminary evidence, if practiced in old maize population and/or maize landraces, which still remain valuable genetic pools especially for stress tolerance traits (Romay et al, 2010). Furthermore, data indicated only a moderate phenotypic correlation between chlorophyll Correlated response for yield with selection for low SPAD readings -----------g plant −1 ----------- content and grain yield and no indirect selection response in grain yield.…”

Section: Discussionsupporting

confidence: 74%

Divergent Mass Selection for Leaf Chlorophyll Content Measured Using Chlorophyll Meter Readings in a Maize Composite Population

Korkovelos

Goulas

2011

Crop Science

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Leaf chlorophyll content is correlated with photosynthetic activity indicators and leaf nitrogen concentration. Three cycles of divergent mass selection for chlorophyll content were performed to estimate heritability, response to selection, and correlated changes in grain yield for these traits in a synthetic maize {Zea mays L.) population. Selection for high and low chlorophyll content was performed in the field using the SPAD chlorophyll meter, and response to selection was measured in field evaluations of the C^, C^, Cg, and C3 populations. The divergent selection responses cycle"^ were 1.2 SPAD unit increase versus 0.2 decrease at anthesis and 0.9 increase versus 0.9 decrease at grain-filling period relative to the base average of 55.9 and 53.5, respectively. The C3 high and low selections showed significant differences in chlorophyll content at anthesis and grain filling stages, but no significant selection indirect response was detected for grain yield. Thus, our data indicate that leaf chlorophyll content is heritable and that it can be manipulated through conventional breeding methodology. Additional cycles of chlorophyll content selection are needed to determine if chlorophyll content will be useful as an indirect selection criterion for yield improvement.

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Section: Discussionsupporting

confidence: 74%

Divergent Mass Selection for Leaf Chlorophyll Content Measured Using Chlorophyll Meter Readings in a Maize Composite Population

Korkovelos

Goulas

2011

Crop Science

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“…Other multivariate-based methods, such as genotype plus genotype × environment (GGE) biplot (Yan et al, 2000), have also been adapted to assist with interpreting G × E interactions. Factorial regression has been successfully applied to interpret G × E interactions in crops such as potato (Solanum tuberosum L.) (Baril et al, 1995), maize (Zea mays L.) (Romay et al, 2010), and wheat (Voltas et al, 2005;Joshi et al, 2010). Another method of interpreting G × E interactions, which is not based solely on visual examinations of biplots, is the use of factorial regression (Denis, 1988).…”

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confidence: 99%

Integrating Empirical and Analytical Approaches to Investigate Genotype × Environment Interactions in Sugarcane

2012

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The causes of genotype × environment (G × E) interactions in sugarcane (Saccharum spp.) are unclear. The objectives of this study were to (i) investigate the G × E interactions and site similarity in two selection programs in South Africa, (ii) identify factors responsible for G × E interactions, and (iii) illustrate the integrated use of crop models and climatic data to better understand G × E interactions. Data from eight series of trials were analyzed using variance components, genotype plus genotype × environment (GGE) biplots, and additive main effects and multiplicative interaction (AMMI). Crop model simulations helped summarize environmental covariates before and after canopy closure. Environmental covariates and genotypic traits were correlated to AMMI scores and superimposed on biplots. The G × E interaction accounted for more variation than the main effect of genotype and the repeatable component of G × E was dominant across all series. Two sites were identifi ed as redundant and were recommended for removal. Sites from one program were characterized by higher rainfall and lower water stress compared with sites from the other. The enriched AMMI2 biplots allowed for identifi cation of factors that infl uenced genotypic traits and permitted biological interpretations and trait relations to be studied. This study has illustrated of harvest; TT, mean daily thermal time; TT1 and TT2, average daily heat units before and after canopy closure, respectively; WSI, water stress index; WSI1 and WSI2, water stress index before and after canopy closure, respectively.

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“…We suggest that varieties subjected to long improvement cycles should respond better. Local varieties, without improvements, showed low yields, although Castellote, a local variety, had an excellent performance under stress conditions (Romay et al, 2010). These results indicated some specific advantages of improved populations over the cultivars in concordance with other authors, suggesting that consecutive cycles of improvement provide a favourable accumulation of desirable genes in yield traits (plant height, number of leaves, ear length, ear rows, ear weight), that may contribute in ability to compete against weeds (Tollenaar et al, 1997).…”

Section: Discussionmentioning

confidence: 99%

Effect of weeding management on the performance of local maize populations

Peña-Asín¹,

Costar²,

Álvarez³

2013

Span. j. agric. res.

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One of the most important stress factors in maize (Zea mays L.) fields is weed competition, which reduces the crop yield. Weeds chiefly interfere with maize and establish considerable competition for light, water and nutrients. To avoid these harmful effects, there are different agronomic measures and factors among which, the most relevant are the interactions between crop and weed, weed management practices and type of germplasm. This study attempts to evaluate maize germplasm for tolerance to weed competition in order to achieve competitive ability and suitability for farming. Ten genotypes of maize, classified into two groups, i.e. improved populations and traditional cultivars, were grown under four types of weed management practices (mechanical harrowing control, chemical control, combination of harrowing and chemical control and untreated control as check) for three years (from 2009 to 2011) in Zaragoza (Spain). We found that the effect of weed management practices was not significantly different, whereas the genotype effect was highly significant, with genotype EZS34 (mean yield of 7.7 Mg ha -1 ) showing the highest yield. Other traits, such as earliness, displayed a good behaviour under weed competition. On the other hand, harrowing management proved to be the most effective method of weed control although it did not show a significant response. The best results are associated with some maize genotypes that have a specific adaptation to local conditions, according to their genetic background.

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Climatic and Genotypic Effects for Grain Yield in Maize under Stress Conditions

Abstract: El trabajo solicitado no puede ofrecerse a texto completo en Digital.CSIC.En cumplimiento de la política de copyright de la revista, solamente es posible incorporar este enlace a la versión a texto completo del editor:

Cited by 37 publications

References 27 publications

Divergent Mass Selection for Leaf Chlorophyll Content Measured Using Chlorophyll Meter Readings in a Maize Composite Population

Divergent Mass Selection for Leaf Chlorophyll Content Measured Using Chlorophyll Meter Readings in a Maize Composite Population

Integrating Empirical and Analytical Approaches to Investigate Genotype × Environment Interactions in Sugarcane

Effect of weeding management on the performance of local maize populations

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