Genotype by environment analysis on multi‐canopy cropping system in rice: Effects of different types of flag leaves

In a four-year period (1997–2000), selected phytonutrients, of which the beta-glucan content is most important for human health, were studied in caryopses of different types of barley varieties and lines (standard, waxy, hulless) from two cropping systems. It was significantly highest in the waxy variety Washonubet (4.93%). The whole group of waxy types of barley showed a significantly higher mean content of beta-glucans (4.75%) than the varieties with standard starch composition (4.12%), the starch content, however, was significantly higher in standard varieties (61.98%) than in waxy types (60.30%). The hulless varieties, however, had a significantly higher mean starch content (61.73%) than the hulled forms (61.07%) and a significantly higher protein content (13.82% versus 13.00%). The hulless intensive varieties and lines had a significantly higher content of beta-glucans (4.34%) and protein (13.95%) than the hulled intensive varieties (4.07%, 12.65%). Chemical treatment and fertilization increased significantly only the mean content of protein in caryopses (13.77%) compared to the variants with the absence of treatment (13.13%), the content of beta-glucans and starch increased insignificantly (by 0.12% and 0.27%). Years and varieties participated most in the variability of starch content (31.67%, 28.08%), varieties in the content of beta-glucans and protein (per 22%), and (21%) the interaction of varieties and years in the variability of these two nutrients.

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Comparison and suitability of genotype by environment analysis methods for yield-related traits of pearl millet

Uganda Journal of Agricultural Sciences ◽

10.4314/ujas.v17i1.6 ◽

2017 ◽

Vol 17 (1) ◽

pp. 51

Author(s):

G Lubadde ◽

J Ebiyau ◽

B Akello ◽

M.A. Ugen

Keyword(s):

Pearl Millet ◽

Environment Analysis ◽

Genotype By Environment ◽

Analysis Methods

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Additive main effects and multiplicative interaction and yield stability index for genotype by environment analysis and wider adaptability in Barley

Cereal Research Communications ◽

10.1556/0806.46.2018.17 ◽

2018 ◽

Vol 46 (2) ◽

pp. 365-375 ◽

Cited By ~ 1

Author(s):

V. Kumar ◽

A.S. Kharub ◽

G.P. Singh

Keyword(s):

Stability Index ◽

Yield Stability ◽

Environment Analysis ◽

Multiplicative Interaction ◽

Genotype By Environment ◽

Main Effects

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Genotype × environment analysis of cowpea grain production in the forest and derived savannah cultivation ecologies

Agro-Science ◽

10.4314/as.v20i2.4 ◽

2021 ◽

Vol 20 (2) ◽

pp. 20-24

Author(s):

A.L. Nassir ◽

M.O. Olayiwola ◽

S.O. Olagunju ◽

K.M. Adewusi ◽

S.S. Jinadu

Keyword(s):

Sum Of Squares ◽

Grain Production ◽

Environment Analysis ◽

Late Season ◽

Genotype By Environment ◽

Differential Performance ◽

Main Effect ◽

Ammi Model ◽

Main Effects ◽

Selection Of

Differential performance of genotypes in different cultivation environments has remained a challenge to farmers and plant breeders, the emphasis being the selection of high yielding and stable genotypes, across similar ecologies. A set of nine cowpea genotypes were cultivated in Ago-Iwoye and Ayetoro, two locations representing high and moderate moisture zones. Plantings were done with the early and late season rains in Ago-Iwoye and mid-late season rains of Ayetoro. Statistical analysis was done to understand genotype reaction to the different environments and the plant and environment factors mediating the performance. The Additive Main Effect and Multiplicative Interaction (AMMI) model captured 61.30% of the total sum of squares (TSS). The main effects: genotype (G) environment (E) and their interaction (GxE) were significant with the largest contribution of 28.70% by the environment while the interaction and genotype fractionscaptured 20.20% and 12.40%, respectively. The percentage contribution of the main effects and GxE to total sum of squares (TSS) for traits was not consistent. The Genotype plus Genotype-by-Environment (GGE) analysis summarized 91.30% of the variation in genotype performance across environment. The cultivation environments were separated into two, with IT 95M 118 as the vertex genotype in the Ayetoro while TVU 8905 was the topmost genotype in Ago-Iwoye. The two genotypes recorded the highest grain weight per plant (GWPP) but were also the most unstable The stable genotypes IT 95M 120 and IT 86 D 716 flowered relatively late compared to others, are taller, had higher vegetative score and are low grain producers. Key words: AMMI, drought, GGE, stability, Vigna unguiculata

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AMMI model in the analysis of genotype by environment interaction of conventionally and organically grown onion

Genetika ◽

10.2298/gensr1603027b ◽

2016 ◽

Vol 48 (3) ◽

pp. 1027-1038

Author(s):

Milka Brdar-Jokanovic ◽

Zdenka Girek ◽

Milan Ugrinovic ◽

Vladimir Sikora ◽

Ivica Djalovic ◽

...

Keyword(s):

Production Systems ◽

Farmyard Manure ◽

Vegetation Period ◽

Genotype By Environment Interaction ◽

Environment Interaction ◽

Mineral Fertilization ◽

Environment Analysis ◽

Genotype By Environment ◽

Ammi Model ◽

The Stability

This study was aimed to assess the stability of direct yield components (bulb weight and number plot-1) and other yield contributing characteristics (bulb diameter, height and index, neck diameter and length, plant height, emergence and vegetation period) in five commercial onion cultivars grown in conventional and organic environments, by employing additive main effect and multiplicative interaction (AMMI) statistical model in data analysis. The two-year field trial organized in complete randomized blocks included the plots maintained in four regimes: mineral fertilization (conventional), without fertilization, fertilization with farmyard manure and with bacterial fertilizer (organic). Each treatment by year combination was considered as an environment. Analysis of variance of AMMI model calculated for the investigated traits showed that all sources of variation (genotypes, environments, genotype by environment interaction) were highly significant. The largest proportions of the total sum of squares were encompassed by environments, except for emergence and bulb index with the pronounced effect of genotypes (67.26 and 52.54%, respectively) and neck length with the genotype by environment interaction amounting 44.59%. Generally, the effects of the interactions were in the common range. The AMMI model with two axes was concluded as the best model for the investigated traits. Onions grown in conventional system outperformed the organic ones. However, good performance of the genotypes was accompanied with low stability across the environments and vice versa. Therefore breeding programs intended to develop cultivars adapted to alternative production systems should rely on the experiments set in the corresponding environments that include various combinations of genotypes and agro-technical procedures based on the principles of organic agriculture.

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The extinction time of a general birth and death process with catastrophes

Journal of Applied Probability ◽

10.1017/s0021900200116031 ◽

1986 ◽

Vol 23 (04) ◽

pp. 851-858 ◽

Cited By ~ 1

Author(s):

P. J. Brockwell

Keyword(s):

Laplace Transform ◽

Size Distribution ◽

Sufficient Conditions ◽

Necessary And Sufficient Conditions ◽

Death Process ◽

Extinction Time ◽

Birth And Death Process ◽

Different Types ◽

The Laplace Transform ◽

Necessary And Sufficient

The Laplace transform of the extinction time is determined for a general birth and death process with arbitrary catastrophe rate and catastrophe size distribution. It is assumed only that the birth rates satisfyλ0= 0,λj> 0 for eachj> 0, and. Necessary and sufficient conditions for certain extinction of the population are derived. The results are applied to the linear birth and death process (λj=jλ, µj=jμ) with catastrophes of several different types.

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Differentiating between different forms of moral obligations

Behavioral and Brain Sciences ◽

10.1017/s0140525x19002589 ◽

2020 ◽

Vol 43 ◽

Author(s):

Rajen A. Anderson ◽

Benjamin C. Ruisch ◽

David A. Pizarro

Keyword(s):

Moral Character ◽

Moral Obligations ◽

Different Types

Abstract We argue that Tomasello's account overlooks important psychological distinctions between how humans judge different types of moral obligations, such as prescriptive obligations (i.e., what one should do) and proscriptive obligations (i.e., what one should not do). Specifically, evaluating these different types of obligations rests on different psychological inputs and has distinct downstream consequences for judgments of moral character.

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