Genotype–environment interaction of lovegrass forage yield in the semi-arid region of Argentina

Ibañez, M. A.; Renzo, M. A. Di; Samame, S. S.; Bonamico, N. C.; Poverene, María Mónica

doi:10.1017/s0021859601001423

Cited by 7 publications

(5 citation statements)

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“…Although, early breeding efforts indicated that yield was correlated to MLL, CD, and DMY with 0.86, 0.84, and 0.84 repeatability values in a population with 18 weeping lovegrass hybrids showing that 98% accuracy could be reached with only a 2‐yr study (Di Renzo et al, 2000; Voigt et al, 1996). Further studies concluded that these traits were highly variable and environment and genotype × environment interactions were significant factors explaining 65 and 14.5% variation, respectively (Ibañez et al, 2001). Therefore, recent breeding efforts were focused on evaluating indirect selection efficiency in three locations over 2 yr adding up to six environments.…”

Section: Discussionmentioning

confidence: 99%

“…Furthermore, these hybrids were highly apomictic and could not reach commercial levels of seed production (Voigt et al, 2004). Later studies showed that yield‐related traits such as dry matter (DM), crown diameter (CD), and leaf length were highly stable through successive seasons although they varied in different environments indicating a strong interaction between genotypes and years (Di Renzo et al, 2000; Ibañez et al, 2001). Therefore, further efforts have focused on indirect selection strategies that looked for high hereditability values and genetic correlation coefficients among different locations to determine which will be the best locations to evaluate these agronomic traits (Di Renzo et al, 2003).…”

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confidence: 99%

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Weeping Lovegrass Yield and Nutritive Value Provides an Alternative to Beef Cattle Feeding in Semiarid Environments of Argentina

Luciani¹,

Sobanski

Meier

et al. 2012

Crop Science

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Weeping lovegrass[Eragrostis curvula (Schrad.) Nees] supports extensive beef cattle operations in arid and semiarid environments worldwide. This perennial grass is preferred in low production areas of Argentina because it has a high biomass production with minimal management requirements. Therefore, we evaluated yield and nutritional value of seven different cultivars and accessions of weeping lovegrass in a field experiment during two consecutive years (Two tetraploid cultivars (Tanganyika and Morpa), three hexaploid cultivars (Don Pablo, Don Juan, and Don Eduardo), and two accessions (UNST9355 and UNST9446) were included in a complete randomized block design. To evaluate yield and nutritional value, dry weight, leaf length, crown diameter, crude protein, in vitro dry matter digestibility (IVDMD), neutral detergent fiber, acid detergent fiber, and lignin were determined. Biomass and IVDMD data indicated that hexaploid cultivars performed better than tetraploid ones under limiting environmental conditions observed throughout the study. Therefore, we concluded that breeding programs could select suitable parents from hexaploid cultivars such as Don Pablo and UNST9446 to be used in arid environments while tetraploid cuitivars such as Tanganyika and Morpa could be used In environments with less water restrictions.

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Section: Discussionmentioning

confidence: 99%

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confidence: 99%

Weeping Lovegrass Yield and Nutritive Value Provides an Alternative to Beef Cattle Feeding in Semiarid Environments of Argentina

Luciani¹,

Sobanski

Meier

et al. 2012

Crop Science

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“…Phenotypic stability was evaluated with two statistical procedures: the AMMI analysis (Gauch and Zobel, 1988) and the non-parametric test of Huehn (1990b). AMMI analysis considers additive effects for main effects and multiplicative effects for the genotype-environment interaction term (Ibañez et al, 2001). The Huehn test is based on the rAUDPC rankings of the genotypes within each trial.…”

Section: Discussionmentioning

confidence: 99%

IDENTIFICATION OF STABLE RESISTANCE TO PHYTOPHTHORA INFESTANS IN POTATO GENOTYPES EVALUATED IN FIELD EXPERIMENTS IN PERU

et al. 2007

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Identification of stable resistance to Phytophthora infestans in potato genotypes evaluated in field experiments in PeruWulff, Ednar Gadelha; Pérez, W.; Nelson, R.J.; Bonierbale, M.; Landeo, J.A.; Forbes, G.A. SUMMARYIn this study, genotype by environment (G × E) interactions and phenotypic stability of resistance to Phytophthora infestans, the cause of late blight, were analysed in Peru for 13 potato genotypes, using additive main effects and multiplicative interaction (AMMI) analysis and Huehn's non-parametric test. The potato genotypes were tested in seven experiments over two years in the vicinity of Comas, Peru, an area used by the International Potato Center to screen for resistance to late blight. Results of the two analyses generally correlated and indicated that quantitative resistance to P. infestans was stable under field conditions for all the genotypes tested. The first two principal components (PCA1 and PCA2) of the AMMI analysis explained 54 % of the G × E interaction sum of squares. A biplot of the two principal components demonstrated a strong year effect in the G × E interaction. By plotting yearly means of the relative area under the disease progress curve (rAUDPC), genotypes could be assigned to one of three resistance categories, resistant, moderately resistant or susceptible, but the need for a more readily applicable and truly quantitative scale for resistance was noted. Based on these studies, standards can be selected for use in screening in the area where they were tested. After further testing in other locations, a standard set drawn from these genotypes could be identified and a quantitative scale developed for evaluation of resistance under short day conditions.

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“…It starts with a similarity matrix or dissimilarity matrix (distance matrix) and assigns for each item a location in a low-dimensional space, e.g. as a 3D graphics (Gower 1966;Ibanmez et al 2001;Zuur et al 2007). PCOA is an eigen-analysis and computes a series of eigenvalues and eigenvectors that each eigenvalue has an eigenvector, and there are as several eigenvectors and eigenvalues.…”

Section: Introductionmentioning

confidence: 99%

Use of Principal Coordinate Analysis for Measuring GE Interactions in Rain-Fed Durum Wheat Genotypes

Karimizadeh¹,

Asghari

Chinipardaz³

et al. 2019

Tarım Bilimleri Dergisi

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Genotype × environment interactions complicate selection of superior genotypes for narrow and wide adaptation. Multienvironment yield trials of twenty durum wheat genotypes were conducted at five locations of Iran (Gachsaran, Gonbad, Moghan, Ilam and Khorram abad) over four years (2009-2013). Combined ANOVA of yield data of the twenty environments (year/location combined) revealed highly significant differences among genotypes and environments as well as significant genotype-environment interaction indicated differential performance of genotypes over test environments. The GE interaction was examined using multivariate analysis technique as principal coordinate analysis (PCOA). According to grand means and total mean yield, test environments were grouped into two main groups as high mean yield (H) and low mean yield (L). There were eleven H test environments and nine L test environments which analyzed in the sequential cycles. For each cycle, both scatter point diagram and minimum spanning tree plot were drawn. The identified most stable genotypes with dynamic stability concept and based on the minimum spanning tree plots and centroid distances were G12 (3342 kg ha-1), G10 (3470.3 kg ha-1), G5 (3203.0 kg ha-1), and G1 (3263.5 kg ha-1), and therefore could be recommended for unfavorable or poor conditions. Genotypes G10 (3470.3 kg ha-1) and G9 (3404.2 kg ha-1) were located several times in the vertex positions of high cycles according to the principal coordinates analysis (PCOA) and therefore could be recommended for favorable or rich conditions. Finally, the results of principal coordinates analysis in general confirmed the breeding value of the genotypes, obtained on the basis of the yield stability evaluation.

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Genotype–environment interaction of lovegrass forage yield in the semi-arid region of Argentina

Cited by 7 publications

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Weeping Lovegrass Yield and Nutritive Value Provides an Alternative to Beef Cattle Feeding in Semiarid Environments of Argentina

Weeping Lovegrass Yield and Nutritive Value Provides an Alternative to Beef Cattle Feeding in Semiarid Environments of Argentina

IDENTIFICATION OF STABLE RESISTANCE TO PHYTOPHTHORA INFESTANS IN POTATO GENOTYPES EVALUATED IN FIELD EXPERIMENTS IN PERU

Use of Principal Coordinate Analysis for Measuring GE Interactions in Rain-Fed Durum Wheat Genotypes

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