Grain yield stability of wheat genotypes under irrigated and non-irrigated conditions

Okuyama, L. A.; Federizzi, Luiz Carlos; Neto, José Fernandes Barbosa

doi:10.1590/s1516-89132005000600004

Cited by 16 publications

(11 citation statements)

References 13 publications

(11 reference statements)

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“…According to the Eberhart and Russell (1966) model, a stable cultivar is that one with a high mean yield and regression coefficient does not significantly differ than unity (bi=1), and the deviation from regressions is does not significantly differ than zero (S 2 di=0). The genotypes with bi=1 are considered the most appropriate for farmers, since they respond satisfactorily to environmental conditions, while genotypes with bi>1 are specially adapted to normal environment and genotypes with bi<1 are specially adapted to unfavorable environment (Okuyama et al 2005). The present results (Table 5) reported that wheat cultivar 'Sids-1' was more stable over all the studied environments (bi=1 and S 2 di = 0), with high r 2 and surpassed the other varieties in grain yield under drought stress conditions by 3.66 ton/hectare, so it could be selected to be grown under drought stress conditions (in the Egyptian dry lands) (Table 5).…”

Section: Discussionmentioning

confidence: 99%

ISSR Markers-Trait Associations and Stability Analysis in Bread Wheat Varieties

Motawea

Said

Khaled

2015

Plant Breed. Biotech.

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This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. ABSTRACT The genetic variability and yield stability are complex traits with large environmental components that are utilized for breeding of improved plant performance under drought conditions. In order to better understand the relationship among genotype, trait components, and environment, marker-trait associations in 20 wheat varieties using phenotypic and ISSR (Inter-Simple Sequence Repeat) markers under drought conditions were examined. The combined analysis of variance results showed that the tested traits were significantly influenced by years, irrigation treatments, and the varieties. The drought stress conditions resulted in a substantial reduction in grain yield by 33.70%. The varieties viz., Shakha-93, Sahel-1, Giza-160, Giza-168, Sids-1, Sids-4 and Nilen were relatively drought resistant (DSI, Drought Susceptibility Index values< 1) and gave high grain yield when compared with the average of all varieties under drought stress. The stability analysis revealed that the cultivar named 'Sids-1' showed high and stable yield (bi=1 and S 2 di = 0), so it could be selected to be grown under drought stress conditions. On the other hand, Shakha-92 and Bacanora-88 showed below-average stability (bi = 1.

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Section: Discussionmentioning

confidence: 99%

ISSR Markers-Trait Associations and Stability Analysis in Bread Wheat Varieties

Motawea

Said

Khaled

2015

Plant Breed. Biotech.

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“…Of the 16 cultivars originally included in the first two-years of the IHSGE, two (Bacanora 88 and Nesser) were selected for the AgMIP-Wheat model intercomparison. Bacanora 88 is a high-yielding Mexican cultivar (Sayre et al, 1997) and Nesser is considered heat and drought tolerant (Okuyama et al, 2005). Both cultivars have low photoperiod sensitivity and low vernalization requirements.…”

Section: Field Experimentsmentioning

confidence: 99%

The International Heat Stress Genotype Experiment for modeling wheat response to heat: field experiments and AgMIP-Wheat multi-model simulations

Martre

2023

ODJAR

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The data set contains a portion of the International Heat Stress Genotype Experiment (IHSGE) data used in the AgMIP-Wheat project to analyze the uncertainty of 30 wheat crop models and quantify the impact of heat on global wheat yield productivity. It includes two spring wheat cultivars grown during two consecutive winter cropping cycles at hot, irrigated, and low latitude sites in Mexico (Ciudad Obregon and Tlaltizapan), Egypt (Aswan), India (Dharwar), the Sudan (Wad Medani), and Bangladesh (Dinajpur). Experiments in Mexico included normal (November-December) and late (January-March) sowing dates. Data include local daily weather data, soil characteristics and initial soil conditions, crop measurements (anthesis and maturity dates, anthesis and final total above ground biomass, final grain yields and yields components), and cultivar information. Simulations include both daily in-season and end-of-season results from 30 wheat models. All data are available via DOI 10.7910/DVN/CJJBSR.

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“…Harvest index (%): calculated by dividing grain weight over total weight multiplied by 100. e drought susceptibility index (DSI) was calculated as described in [21] using two different approaches. e first approach was based on using GW after the classification of environments into high-yielding environments (HYE) and low-yielding environments (LYE) [22,23]. In the second approach, the DSI analysis was carried out using GW based on location GW mean where JU represented a humid area and JUST represented a dry area.…”

Section: Traits Measurementsmentioning

confidence: 99%

“…For DSI analysis that is based on the grand mean of GW over all environments (374.29 g/m 2 ) (Table 4), the environments were classified into high-yielding environments (HYE), which included Humid2012, Humid2013, and Dry2012, and LYE that included Dry2013 that had a GW mean value below the grand mean [22,23]. In addition, the DSI analysis was carried out based on the location GW mean values where JU represented a humid area and JUST represented a dry area.…”

Section: Drought Susceptibility Indexmentioning

confidence: 99%

Agronomic Evaluation and Yield Performance of Selected Barley (Hordeum vulgare L.) Landraces from Jordan

Al-Sayaydeh

Al-Bawalize²,

Al-Ajlouni

et al. 2019

International Journal of Agronomy

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Barley (Hordeum vulgare L.) landraces collected previously from main production areas across Jordan are expected to perform well under stressful environments. In this study, the agronomic performance of 10 Jordanian barley landraces and three local cultivars was evaluated in two locations for two growing seasons. Clear significant variations for all studied traits were observed among the selected genotypes, environments, and their interactions. The local cultivar Rum and Baladi landrace showed the best yield performance, while Herawi and Nabawi landraces produced the lowest yield across all environments. Clustering analysis using genotypic data from the iSelect 9k SNP barley array showed a clear grouping based on row type with 100% similarity level between the Syfi and Arabi landraces. The characterized Jordanian landraces can be used to improve barley resilience against climate change and associated conditions and are recommended in breeding programs to improve productivity under dry conditions.

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Grain yield stability of wheat genotypes under irrigated and non-irrigated conditions

Abstract: ABSTRACT

Cited by 16 publications

References 13 publications

ISSR Markers-Trait Associations and Stability Analysis in Bread Wheat Varieties

ISSR Markers-Trait Associations and Stability Analysis in Bread Wheat Varieties

The International Heat Stress Genotype Experiment for modeling wheat response to heat: field experiments and AgMIP-Wheat multi-model simulations

Agronomic Evaluation and Yield Performance of Selected Barley (Hordeum vulgare L.) Landraces from Jordan

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