Genotype by environment interaction and yield stability in sugarcane

Rea, Ramón; Sousa-Vieira, Orlando De; Lucena, Alida Díaz; Ramón, Miguel Calvo; Cárdenas, Rosaura Briceño

doi:10.15446/rfna.v70n2.61790

Cited by 10 publications

(11 citation statements)

References 23 publications

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“…In the present study, the variation could be almost equally contributed by the genotypic effects (52.3%) and environmental effects (50.8%), whereas the effects of GEI contributed was less (11.66%) for the cane yield in sugarcane. In the present study, the effects of genotype and environment coincided with the findings of Rea et al (2017) and Meena et al (2017). When the IPCA1 score was almost zero or equal to zero, it was assumed that the clone was having a small and stable interaction.…”

Section: Resultssupporting

confidence: 81%

“…In table 5, scores of IPCA1 and IPCA2 for each genotype cane yield and the corresponding AMMI stability value (ASV) which was calculated, and their ranks were presented. It is concluded that the variety with a high mean yield and the least ASV score is the most stable (Rea et al, 2017) and for the breeder, this strategy will be useful in the sugarcane breeding program. Based on this, the lowest ASV having higher cane yield over the grand mean such as 0.248 (Co 15021), 1.098 (Co 0240), ) were considered to be suitable for the specific environment even though they recorded higher cane yield than the grand mean.…”

Section: Resultsmentioning

confidence: 99%

“…Since the most stable genotypes do not necessarily offer the best yield, both high cane yield and less ASV should be considered concurrently in sugarcane breeding programmes. (Rea et al, 2017 andTena et al, 2019).…”

Section: Resultsmentioning

confidence: 99%

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Evaluation of promising commercial sugarcane genotypes for stability by AMMI analysis

Karthigeyan

2021

EJPB

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The choice and recommendation of a variety for commercial cultivation are influenced by genotype x environment interaction (GEI)). The complication of genotype by environment interaction (GEI) is that usually involves layout of trials in various seasons, making it difficult to identify the genotype adapted to different environments. Twenty sugarcane clones and four standard checks were evaluated under three environments within the tropical climate. Additive Main Effects and Multiplicative Interaction (AMMI) model was applied to assess the extent of genotype x environment (GE) interaction and also the stability of sugarcane clones across the environments. The significant difference was observed by AMMI analysis among the tested clones and environments. The sum of the first two principal components conferred to 63.6 per cent of the total of G x E interaction. In the present study, the genotypes G24 (Co 88025), G23 (CoV 94101) and G20 (Co 16001) recorded in high mean yield and higher Principal Component Analysis (PCA) scores; hence, these materials specifically suited to the favorable locations. Since the genotypes Co 15021(G19), Co 0240 (G3), and Co 13001(G7) were near the center point of the axes and hence were influenced by the environment. These clones recorded higher cane yield and stability and suitable for cultivation in different environments. The utilization of the AMMI model made it easy for the visual comparison and identification of exceedingly superior genotypes for every set of environments.

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Section: Resultssupporting

confidence: 81%

Section: Resultsmentioning

confidence: 99%

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Evaluation of promising commercial sugarcane genotypes for stability by AMMI analysis

Karthigeyan

2021

EJPB

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“…A stability index (Pi), which is a stability indicator based on a comparison of the productivity of genotypes in different environments, was proposed by Lin and Binns (1988). The genotype with the best performance and the lowest Pi value is considered to be the best genotype [26]. Accordingly, Dinçer variety is seen as the most stable genotype in terms of Pi value.…”

Section: Resultsmentioning

confidence: 99%

Assessment of Genotype × Environment Interaction of Safflower (Carthamus tinctorius L.) Genotypes by Parametric and Non-Parametric Methods

Subaşı

Başalma

2021

EJFOOD

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Genotype-environment interaction is a significant factor for finding and selecting stable and productive varieties in safflower breeding programs. This study was conducted at three locations over two years (2016-2017) to determine the extent of genotype by environment (GE) interaction in seed and oil yield. 20 safflower lines and cultivars were evaluated in terms of stability in 3 environments. Considering the stability and performance, the most suitable genotypes were determined as Remzibey-05 and Genotype-125 in seed yield, Genotype-8 and Genotype-155 in oil yield. In terms of stability and performances of genotypes, the environment of Ikizce 2017 (E4) was prominent. Correlation analysis among parametric and nonparametric features was given only for seed yield. The following stability parameters were calculated: the coefficient of variation (CV), regression constant (ai), regression coefficient (bi), mean deviation squares from regression (S2di), coefficient of determination (Ri2), stability variance (σi2), ecovalance value (Wi), stability index (Pi) and as nonparametric stability measures Si(1) and Si(2) values. This analysis indicated that seed yield was significantly positively correlated only with Pi (P<0.01). CV showed a positively significant correlation with ai. S2di and ri2 had a positive association with Ri2, σi2, Wi, Pi, Si(1), Si(2), and between each other.

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“…Experiments over seasons and years must be carried out to test the stability of genotypes perfing certain phenotypes because rank of genotypes could be changed in differen environment due to interaction of genotype and enviroment. Test of stability was used in the important commodities such as barley (Sabaghnia et al, 2012), black spure (Khalil, 1984), Chenopodium spp (Bhargava et al, 2005), chili pepper (Syukur etal., 2014), durum wheat (Akcura et al, 2006), faba bean (Temesgen et al, 2015), field pea (Fikere et al, 2010), lentil (Dehghani et al, 2008), maize (Scapim et al, 2000), oilseed rape (Brandle and McVetty, 1988;Oghan et al, 2013), potato (Flis et al, 2014), rice (Purbokurniawan et al, 2014, Balakrishnan et al, 2016, rubber tree (Silva et al, 2014), sorghum (Adugna, 2008), sugar cane (Rea et al, 2017), sweet potato (Bacusmo et al, 1988), and vetch (Sayar et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Saepo Modi and Correlation among Statistical Methods for Measuring of Phenotypic Stability

Malau

Siagian

Sihotang

et al. 2019

Petrop

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A stabile phenotype is desired. Many statistical methods are available to measure stability. So far, the choice of parameter of stability depended on the perception on the interaction of genotype and environment or ease of counting. The goal of this research was to study correlation among stability parameters. In total of 16 stability parameters were used in this research. Saepo modi (SMsp) as a stability parameter was also used. Branch rust incidence, leaf rust incidence, and leaf rust severity on Arabica coffee were used as variables. This research result showed that none of the parameters of stability correlated significantly with all parameter of stability. It coud be concluded that if someone want to use only one stability parameter, it is preffered to make use of regression and deviation from regression (D 2 i). In the case a researcher needs to use several of parameters of stability, Saepo modi (SMsp) might be exercised. ABSTRAKSuatu fenotipe yang stabil yang diharapkan. Banyak metode statistik tersedia untuk mengukur stabilitas. Sejauh ini, pemilihan parameter stabilitas tergantung kepada persepsi tentang interaksi genotipe dengan lingkungan atau kemudahan perhitungan. Tujuan dari penelitian ini adalah untuk mengkaji korelasi antarparameter stabilitas. Sebanyak 16 parameter stabilitas digunakan pada penelitian ini. Saepo modi (SMsp) sebagai suatu parameter stabilitas juga digunakan. Insiden karat cabang, insiden karat daun dan keparahan karat daun pada kopi Arabica digunakan sebagai variabel. Hasil penelitian ini menunjukkan bahwa tidak satupun dari parameter stabilitas berkorelasi signifikan dengan semua parameter stabilitas. Kesimpulan penelitian ini adalah jika seseorang ingin menggunakan hanya satu parameter stabilitas, ia 239 disarankan menggunakan regresi dan deviasi dari regresi (D 2 i). Dalam hal seorang peneliti ingin menggunakan beberapa parameter stabilitas, Saepo modi (SMsp) dapat digunakan.

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Genotype by environment interaction and yield stability in sugarcane

Cited by 10 publications

References 23 publications

Evaluation of promising commercial sugarcane genotypes for stability by AMMI analysis

Evaluation of promising commercial sugarcane genotypes for stability by AMMI analysis

Assessment of Genotype × Environment Interaction of Safflower (Carthamus tinctorius L.) Genotypes by Parametric and Non-Parametric Methods

Saepo Modi and Correlation among Statistical Methods for Measuring of Phenotypic Stability

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