Performance evaluation and yield stability of upland rice (<i>Oryza sativa</i> L.) varieties in Ethiopia

Zewdu, Zelalem; Abebe, Tefera; Mitiku, Tesfaye; Worede, Fisseha; Dessie, Abebaw; Berie, Assaye; Atnaf, Mulugeta

doi:10.1080/23311932.2020.1842679

Cited by 18 publications

(22 citation statements)

References 10 publications

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“…The highest yield was obtained for the genotype Patobi; but because of sample size direct comparison of Patobi and other scarcely occurring landraces with those of frequently occurring landraces could not be made. Our results are in agreement with Zewdu et al [34] who observed a wide variability in grain yield of upland rice which they attributed to differences in the test locations in Ethiopia and genotypic variations. Earlier, Van Keer et al [35] also reported extensive variability in productivity of tropical japonica type glutinous upland rice varieties in an extensive research area in northern Thailand.…”

Section: Resultssupporting

confidence: 93%

Evaluating Rice Biodiversity and Yields of Upland Rice Landraces Grown in Shifting Cultivation in Bandarban, Bangladesh

Hamid

Biswas

et al. 2021

j. of bot. res.

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Shifting cultivation, popularly known as jhum, is a dominant form of agriculture in the Chattogram Hill Tracts (CHT) of Bangladesh with upland rice being the major component of the system. The region is known for its rice biodiversity, which is under threat. This study was an attempt to explore the extent of rice biodiversity and variation in rice yields observing 81 randomly selected shifting cultivation plots from 26 dispersedly located mountainous villages in four sub-districts of Bandarban, one of three districts of the CHT. A total of 28 landraces of upland rice was grown in shifting cultivation. Highest number of landraces (16) was found in sub-district Thanchi. Three landraces most frequently observed were Gunda, Maemonsing and Sadabinni. Rice grain yield varied between 1.421 t ha-1 and 3.442 t ha-1 across landraces with the highest being recorded for Patobi. Landrace Dilon the lowest yield. Relative performance of landraces Kobrokbinni, Maemonsing, Monthon, Patobi and PD were superior to standard BRRI dhan83 and Gunda in relation to grain yield. Some of these landraces having wider adaptability may be released as varieties.

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Section: Resultssupporting

confidence: 93%

Evaluating Rice Biodiversity and Yields of Upland Rice Landraces Grown in Shifting Cultivation in Bandarban, Bangladesh

Hamid

Biswas

et al. 2021

j. of bot. res.

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“…Both linear and non-linear components of G x E interaction were found to be significant for all studied traits as indicated by highly significant mean squares due to G x E (linear) interaction and pooled deviation. The obtained results are in agreement with those obtained by (Kumar et al, 2012) and (Zewdu et al, 2020). The grain yield of rice cultivars differed considerably with the change in environmental conditions including locations and years.…”

Section: Analysis Of Variancesupporting

confidence: 92%

“…While, Giza182 and Egyptain Yasmin gave values lower than 1 of bi indicating that these genotypes suitable for poor environments. Sakha105 ,Giza177 and Sakha102 exhibited bi higher than 1 it means that it's suitable for favorable environments while its performance will poor in unfavorable environments (Ravindra et al, 2012;Girma, 2018 andZewdu et al, 2020). Thus, these rice cultivars can be valuable for severe environments studies which the identified varieties are recommended for their appropriateness under poor environmental conditions as shown in Table 6.…”

Section: Stability Parametersmentioning

confidence: 99%

“…Also, it has been indicated that the non-linear regression could be used for stability measurement whereas the linear regression could be used to measure the varietal response to various environmental conditions (Ravindra et al, 2012 andGirma 2018). Therefore, the mean and the deviation from regression of each cultivar should be considered for stability and linear regression for the varietal response evaluation (Girma, 2018;Zewdu et al, 2020).…”

Section: Analysis Of Variancementioning

confidence: 99%

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Performance and Yield Stability of some Egyptian Rice (Oryza sativa L.) Cultivars under Different Environments

El-leithy

Mazal

Aamer

2021

Journal of Agricultural Chemistry and Biotechnology

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Stability analysis for some Egyptian rice cultivars was studied in this paper to identify high-yielding stable rice varieties and to determine their suitable areas as well as their adaptability to different climatic and topographic conditions. A field experiments for ten rice varieties were evaluated by designing randomized complete block with three replications in five successive rice growing season from 2016 to 2020at three Agricultural Research Stations (Sakha, Gemmeiza and Zarzoura) in Egypt. Result of ANOVA analysis showed high significance in the studied cultivars, environment and genotype-environment interaction indicated that there is genetic diversity among the cultivars yield. Based on the performance of the rice cultivars across the locations, highly promising for grain yield among cultivars studied, the cultivars Giza 178, Sakha 103, Sakha 104, Sakha 101 and Sakha 106 were considered stable and adapted under different environments. Furthermore, the results indicated that studied cultivars slightly differ in their response to the various environmental conditions, which suggested the importance of cultivars assessment under many environments due to identification the best genetic make up for a particular environment.

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“…The genotype×environment interactions were partitioned into six significant interaction PCAs and 61.8% variance was explained by first two IPCAs together (Table 6). Similarly Zewdu et al (2020) partitioned the genotype×environment interactions into six rays which divided the biplot into seven sections. GGE bi-plot genotype view depicts that the hybrid JGLH 365 (G15) and US 314 (G8) were inside the first concentric circle and found to be more stable across environments (Figure 2).…”

Section: Gge Bi-plot Model Analysismentioning

confidence: 99%

Stability Analysis of Rice Hybrids for Grain Yield in Telangana through AMMI and GGE Bi-plot Model

Mohan¹,

Krishna²,

Sreedhar³

et al. 2021

IJBSM

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An investigation was carried out on fifteen rice genotypes to identify stable rice hybrids across six different agroclimatic zones in Telangana state using AMMI and GGE bi-plot analyses during July to November, 2020. Analysis of variance clearly showed that environments contributed highest (65.47%) in total sum of squares followed by genotypes×environments (21.19%) indicating very greater role played by environments and their interactions in realizing final grain yield. AMMI analysis revealed that rice hybrids viz., RNRH 39 (G6), 27P31 (G14) and RNRH 15 (G1) were recorded higher mean grain yield with positive IPCA1 scores. The hybrids, JGLH 275 (G11) and JGLH 365 (G15) were plotted near to zero IPCA1 axis indicating that these hybrids are relatively more stable across locations. GGE bi-plot genotype view depicts that the hybrids, JGLH 365 (G15) and US 314 (G8) were inside the first concentric circle and found to be more stable across environments. GGE bi-plot environment view showed that Rudrur (E4) location was the most ideal environment. However, Warangal (E6) and Jagtial (E1) locations were poor and most discriminating. Depending on dispersion of environments in different directions, six locations were partitioned into three mega zones as first zone comprised of four locations viz., Kunaram (E2), Kampasagar (E3), Rudrur (E4) and Rajendranagar (E5) whereas highly dispersed Jagtial (E1) and Warangal (E6) were identified as two separate mega environments. The bi-plot view identified that 27P31 (G14), JGL 24423 (G2) and RNRH 39 (G6) were the best performing genotypes in first zone comprising four locations.

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Performance evaluation and yield stability of upland rice (Oryza sativa L.) varieties in Ethiopia

Cited by 18 publications

References 10 publications

Evaluating Rice Biodiversity and Yields of Upland Rice Landraces Grown in Shifting Cultivation in Bandarban, Bangladesh

Evaluating Rice Biodiversity and Yields of Upland Rice Landraces Grown in Shifting Cultivation in Bandarban, Bangladesh

Performance and Yield Stability of some Egyptian Rice (Oryza sativa L.) Cultivars under Different Environments

Stability Analysis of Rice Hybrids for Grain Yield in Telangana through AMMI and GGE Bi-plot Model

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