Selection of corn cultivars for yield, stability, and adaptability in the state of Amazonas, Brazil

Oliveira, I. J. de; Atroch, A. L.; Dias, M. C.; Guimarães, L. J. M.; Guimarães, P. E. de O.

doi:10.1590/s0100-204x2017000600009

Cited by 14 publications

(17 citation statements)

References 8 publications

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“…Several statistical analyses are used to evaluate the yield performance of genotypes across the environments such as the regression coefficient of the GEI effects on the environmental [ 13 ], the coefficient of variation (CV) [ 14 ], the non-parametric stability [ 15 ], the harmonic mean of the genotype relative performance value [ 16 ], and the AMMI—Additive Main effects and Multiplicative Interaction model [ 17 ]. There are different crops that benefit from these approaches, including corn [ 18 ], rice [ 19 ], bread wheat [ 20 ], maize [ 21 ], and quinoa [ 22 , 23 ]. AMMI analysis allowed us to analyze the GEI effects in multi-location trials.…”

Section: Introductionmentioning

confidence: 99%

Quinoa Productivity and Stability Evaluation through Varietal and Environmental Interaction

Elhadji

Allaoui

Benlhabib

2021

Plants

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Chenopodium quinoa is a pseudocereal species identified as a potential crop to mitigate world food security. It has the ability to adapt to diverse agro-ecosystems ranging from sea level to over 4000 masl. Its cultivation in Morocco began in 1999, as it is tolerance to drought, salinity, and frost, and it can grow on marginal soils. It has exceptional nutritional value, as it is rich in proteins, essential amino acids, mineral nutrients, trace elements, vitamins, and unsaturated fatty acids. The present study aims to evaluate the adaptation of 14 quinoa varieties and lines from four different origins through fourteen agro-morphological characters. The experimental trials were conducted at five contrasted agro-climatic sites across the central part of Morocco. The data analysis showed high variability among the tested varieties and between sites for all assessed traits. The Meknes (foot-hill plain) site was the most productive; its grain yield reached 78.6 qx/ha. At the Rabat (coastal land) and Berrechid (continental plain) sites, grain production was respectively 56.4 and 45.9 qx/ha. The SW2 Moroccan line produced the highest grain yield that reached 78.3 qx/ha across sites. The Danish variety Titicaca presented the best harvest index (HI = 0.69) as well as the best “thousand kernel weight” (TGW = 3.4 g). As the mildew infection evaluation, the Vikinga and Titicaca varieties ranked the most sensitive to Peronospora farinosa. The germination rates of the harvested seeds were prejudiced by the sites’ high temperatures and were low in Tinejdad (oases site) and El Kbab (mountain plateau). The best average germination rate across sites was that of the Puno variety (84.5%). According to the Additive Main effects and Multiplicative Interaction analysis (AMMI), 23% of the grain yield variability is due to the genotype, while 32% is due to the site by the variety interaction contribution to the production variability. AMMI analysis also ranked the varieties according to their productivity and stability value. Accordingly, two varieties that have yielded above the overall average (42.7 qx/ha) are considered stable; those are Riobamba and W11, which is a local selected line. Titicaca, ILLPA, Atlas cultivars and the SW2 local line presented the best grain yield in one of the experimental sites but performed not as well on the others.

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Section: Introductionmentioning

confidence: 99%

Quinoa Productivity and Stability Evaluation through Varietal and Environmental Interaction

Elhadji

Allaoui

Benlhabib

2021

Plants

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“…The component of variation of the G x E interaction and the coefficient of determination for this source of the variation were significant by the test t (p < 0.05) ( Table 2). With this result we can state that the genetic difference between the genotypes was presented when they were submitted to the environments used in this research, and despite of the fact that the environments have potential for differentiation of the genotypes behavior under analysis, according to Oliveira et al (2017). It is also worth mentioning that G x E interaction hinder the selection of stable and satisfactory genotypes for a particular trait (Cruz et al, 2014).…”

Section: Resultsmentioning

confidence: 62%

Selection and recommend of quinoa (Chenopodium quinoa) genotypes based on the yield genotypic adaptability and stability

et al. 2019

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“…These procedures allow a most robust and proper estimation of genetic and environmental effects, as well as the prediction of genotypic values in a non-biased way (Hu, 2014). In addition, mixed model procedures reduce the noise of unbalanced designs as well as of the non-additive traits, features often observed in plant breeding trials (Oliveira et al, 2017). In this context, this study aims to utilize REML/ BLUP-based procedures to estimate variance components, genetic parameters and genotypic performance of wheat genotypes in Central Zone of country under restricted irrigated timely sown conditions.…”

Section: Introductionmentioning

confidence: 99%

Analytic Measures of Adaptability for Wheat Genotypes Evaluated under Restricted Irrigation Timely Sown Conditions for Central Zone of India

Verma

Singh

2020

IJARe

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Background: Wheat improvement program of the country identify genotypes with specific and general adaptations to ensure sustain yield for food security of the people. Yield behavior of promising wheat genotypes were studied at twelve locations of Central Zone of the country under restricted irrigation timely sown conditions. Methods: Recent analytic measures of adaptability viz., Relative Performance of Genetic Values (PRVG), Harmonic Mean of Genetic Values (MHVG) and Harmonic Mean of the Relative Performance of Genotypes (MHPRVG) were compared by considering Best Linear Unbiased Predictors (BLUP) of genotypes based on mixed model approach. Result: Genotypes MP3288, BRW3775 and DBW110 had been marked by analytic measures PRVG, MHVG, MHPRVG, HM for high yield and better adaptability across locations as per first year (2016-17) findings. HI8791 and DBW110 genotypes occupied places near to the origin in Biplot graphical analysis. Specific adaptations of genotype HI8791 for Sagar and Dhanduka locations were observed. DBW110 would be suitable for Jabalpur, Gwalior and Udaipur locations, whereas BRW3775 identified for Kota, Sanosora and Vijapur. Genotypes GW495, GW322, HI8713 and GW1339 had achieved high yield and better adaptability during the year (2017-18). The genotype UAS466 had expressed specific adaptations to Jabalpur and Gwalior, whereas HI8627 for Bhopal and Udaipur, NIAW3170 were identified for Indore and Vijapur, DDW47 for Sansora, Dhanduka and Pratapgarh. The recent analytic measures based on harmonic means of the relative performance of predicted genetic values have been observed as an appropriate to identify the better adaptive genotypes with higher yield.

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Selection of corn cultivars for yield, stability, and adaptability in the state of Amazonas, Brazil

Cited by 14 publications

References 8 publications

Quinoa Productivity and Stability Evaluation through Varietal and Environmental Interaction

Quinoa Productivity and Stability Evaluation through Varietal and Environmental Interaction

Selection and recommend of quinoa (Chenopodium quinoa) genotypes based on the yield genotypic adaptability and stability

Analytic Measures of Adaptability for Wheat Genotypes Evaluated under Restricted Irrigation Timely Sown Conditions for Central Zone of India

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