Evaluation of genotype×environment interaction and stability of corn hybrids and relationship among univariate parametric methods

Changizi, Mahdi; ChoukanRajab,; Majidi, HeravanEslam; Reza, BihamtaMohammad; DarvishFarrokh,

doi:10.4141/cjps2013-386

Cited by 28 publications

(29 citation statements)

References 40 publications

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“…To quantify the adaptability and stability of the production of processed coffee by different clones in different environments, the estimator proposed by LIN and BINNS (1988) was interpreted as follows in eq. 5:…”

Section: Quantification Of the Genotype × Environment Interactionmentioning

confidence: 99%

“…Non-parametric methodologies, such as those of Lin and Binns (1988), have also been used to identify genotypes of broad or specific adaptability. The decomposition of the Lin and Binns estimator provided the information needed to recommend genotypes to specific environments, classified as favorable or unfavorable to coffee cultivation (CRUZ et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

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Adaptability and stability of Coffea canephora Pierre ex Froehner genotypes in the Western Amazon

et al. 2020

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The development of Coffea canephora cultivars is based on the characterization of genotype × environment interaction, which is interpreted to quantify the differential behavior of clones at different cultivation sites. The objective of this research was to study the genotype x environment interaction aiming to select clones of broad and specific adaptation to different environments of the Western Amazon. Twelve clones with hybrid characteristics of the botanical varieties Conilon and Robusta and four open pollinated clones, had their performance evaluated in comparison with four controls. The genotype × environment interaction was interpreted based on the environmental quality index, the non-parametric estimator of Lin and Binns, 1988 and on the dispersion of the centroid method. Effects of the genotypes, environment, and genotype × environment interaction were all significant (p<0.01). The environmental quality index (Ij) classified three environments as favorable for coffee production. In terms of the Lin and Binn’s estimator (Pi), hybrid genotypes 16, 10, 13, 09 and 14 presented lower Pi indices than others, and were classified as being more stable. Five clones of low adaptability, seven clones of specific adaptability to favorable or unfavorable environments and two clones of broad adaptability to all environments were identified interpreting the dispersion of the centroid method.

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Section: Quantification Of the Genotype × Environment Interactionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Adaptability and stability of Coffea canephora Pierre ex Froehner genotypes in the Western Amazon

et al. 2020

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“…D i measurement selected SC4 as the most stable followed by SC11 and SC8, where SC4 and SC8 had above-average overall performance. In nonparametric measurements (Table 4), SC3 hybrids were declared the most stable by measurements of S (1) , S (3) , S (6) , NP (3) , and NP (4) . The SC6 hybrid was declared the most stable by S (2) measurement.…”

Section: Genotype By Environment Interactions Of Maize Hybrids Yieldmentioning

confidence: 99%

“…Currently the demand for maize was increase, but the existing production supply was still unable to ful ll it 3 . One of the causes of low maize production was caused by the in uence of environmental conditions of cultivation including agro-climate and cultivation techniques 4 . Given the importance of maize and its potential for cultivation throughout Indonesia, the increased in yields must be taken seriously.…”

Section: Introductionmentioning

confidence: 99%

“…The eld experiment was conducted at eight locations in Java island, Indonesia during two seasons used a randomized completed block design with three replications.The experimental results showed that the main effects of growing season, location, hybrid, and GEIs, had a signi cant effect on maize hybrid yields. Stability measurements S (3) , S (6) , NP (2) , NP (3) , NP (4) , and CV i , belong to the concept of dynamic stability that can be used to selected maize hybrids in favorable environments, while other measurements were classi ed as in the concept of static stability. Two maize hybrids were successfully selected to have high and stable yields based on numerical and visual measurements, namely SC3 and SC9.…”

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Maize Hybrids: Mega-Environments in Java Island, Indonesia

Wicaksana

Maulana

Yuwariah

et al. 2021

Preprint

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Identification of grain yields on stable and high yielding maize hybrids in a wide environment requires high accuracy. There were many stability measurement methods used in multi-environment experiments. However, the relationship between each measurement was still difficult to understand. The objectives of this study were to: 1. identified the effect of growing season, location, hybrids (genotypes), and their interactions (GEIs) on grain yields; 2. determined the relationship between each stability measurement; 3. selected the stable and high yielding maize hybrids in a wide environment; and 4. determined favorable (discriminativeness) locations for testing. The field experiment was conducted at eight locations in Java island, Indonesia during two seasons used a randomized completed block design with three replications. The experimental results showed that the main effects of growing season, location, hybrid, and GEIs, had a significant effect on maize hybrid yields. Stability measurements S(3), S(6), NP(2), NP(3), NP(4), and CVi, belong to the concept of dynamic stability that can be used to selected maize hybrids in favorable environments, while other measurements were classified as in the concept of static stability. Two maize hybrids were successfully selected to have high and stable yields based on numerical and visual measurements, namely SC3 and SC9. The two hybrids can be used as candidates for a sustainable maize development program. GJRS and KARS were the most discriminativeness environments. Both can be used as a favorable environment for selecting the ideal maize hybrid.

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Abnormal ear development in corn: Does hybrid, environment, and seeding rate matter?

et al. 2023

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Corn (Zea mays L.) yields have increased in the United States since the 1930s and in other parts of the world since the 1950s and 1960s because of improvements in agricultural management and genotypes. Despite these increases, production concerns still exist. In July 2016, abnormal ear development (multi-ears per node, barbell-ears, and short-husks) was reported in cornfields that extended from the Texas Panhandle to eastern Colorado and east through Kansas, Nebraska, Iowa, and Illinois. Surveys in Nebraska farmer fields revealed significant productivity losses due to the issues, but little was known about the underlying causes. A research study was conducted in four Nebraska fields during the 2018 and 2019 growing seasons. The research investigated the effects of hybrids, environments, seeding rates, and their interactions on abnormal ears. Eight hybrids, eight environments, and five seeding rates were studied. About 63,500 plants were individually assessed at or after the dent stage (R5). Grain yield ranged from 4.3 to 20.1 Mg ha −1 . In 2018, about 5% of ears were abnormal; in 2019, about 11%, if combined, about 8%. Higher-yielding hybrids were associated with lower percentages of abnormalities. Hybrids, environments, and seeding rates influenced the occurrence of abnormal ears. In most cases, abnormal ears had lower heights in the canopy, suggesting that primary ear loss may be a factor. The results reinforced the overriding hypothesis that ear abnormalities result from environmental, genetic, and management interactions. Depending on the environment, selecting certain hybrids with optimum seeding rates could help mitigate the occurrence of abnormal ears.

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Evaluation of genotype×environment interaction and stability of corn hybrids and relationship among univariate parametric methods

Cited by 28 publications

References 40 publications

Adaptability and stability of Coffea canephora Pierre ex Froehner genotypes in the Western Amazon

Adaptability and stability of Coffea canephora Pierre ex Froehner genotypes in the Western Amazon

Maize Hybrids: Mega-Environments in Java Island, Indonesia

Abnormal ear development in corn: Does hybrid, environment, and seeding rate matter?

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