Evaluation of Food Barley (Hordeum vugarae L.) Varieties by Varied Plant Population Densities in the Highlands of Arsi Zone, Southeastern Ethiopia

Dobocha, Dereje; Worku, Wogayehu; Shimeles, Fasil; Admasu, Almaz; Mulatu, Zenebe; Bekele, Dagnachew

doi:10.3923/jps.2020.22.27

Cited by 3 publications

(6 citation statements)

References 4 publications

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“…Table (3) depicts the presence of a considerable superiority of the local black variety in the characteristics of (SL) (5.80 cm), (NS.m 2 ) (450.80 spikes/m 2 ), (GY) (228.30 g) and (HI) (39.26 %) on the white variety, which superiority in (LAF) (13.23 cm 2 ), (NG/S) (17.50) and (SY) (375.40 g) were significantly different between the two cultivars, whereas traits plant height, (1000WG) and (BY) were not significant between the two cultivars. This result is also consistent with that of [4][5][6][7][8][9]. The depth of planting (8 cm) is clearly superior in most parameters, including (PH) (60.11 cm), (NS.m 2 ) (408.40 m 2 ), (NG/S) (19.62), (BY) (632.10 g/m 2 ), (SY) (399.70 g/m 2 ) and (GY) (232.40 g/m 2 ), whereas depth (4 cm) was considerably superior than depth (8 cm) in the characteristic of (1000WG) (37.75 g) and the other traits did not show significant differences between the two planting depths, according to [12].…”

Section: Resultssupporting

confidence: 91%

“…The results presented in Table (2) for the Telkef site show that the local black variety superiority the local white variety in characteristics of (PH) (62.28 cm), (SL) (6.05 cm), (NS.m 2 ) (464.90), (SY) (246.90 g), and (HI) (41.68 %), while the local white cultivar superiority the (LB) cultivar in characteristics of (LAF) (13.86 cm 2 ), (NG/S) (17.93) and (SY) (391.10 g) were significantly different between the two cultivars investigated, however there were no significant changes in (1000WG), (BY) and (HI). This conclusion is consistent with [4][5][6][7][8][9]. In characteristics of planting depths, it was discovered that depth (8 cm) was significantly superior to depth (8 cm) in the traits of (PH) (62.28 cm), (NS.m 2 ) (420.70 m 2 ), (BY) (647.10 gm/m 2 ), (SY) (404.80 g/m 2 ) and (SY) (242.30 gm/m 2 ) whereas depth (4 cm) was significantly superior to depth (8 cm) in the trait of (1000WG) (38.64 g).…”

Section: Resultssupporting

confidence: 90%

“…[6] discovered substantial variations between a varieties of barley genotypes in the parameters of (NG/S), (NS.m 2 ), (GY) and (1000WG) in his study. [7] discovered substantial variations in (SL), (1000WG) (BY) and (GY) among three barley cultivars (Travler, EH1847, and Bekoji1). [8] discovered a substantial variation in (PH), (SL), (NG/S) and (SY) amongst barley varieties.…”

Section: Introductionmentioning

confidence: 90%

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Effect of Jelly and Planting Depths on the Traits of Two Barley Verities

Ali

Khaleel²,

Al-Chalabi³

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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A field experiment was conducted in two separated environments in Nineveh Governorate, northern Iraq: the first in Telkef district and the second in Mosul district. Each experiment featured the growing of two barley varieties (Var) [Local black (LB) and Local white (LW)] at different sowing depths (SD) (4 and 8 cm), as well as the addition of three levels of hydrogel (HL) (0, 100, and 200) kg.ha-1. Traits studies: plant height (PH), leaf area of the flag (LAF), spike length (SL), Spike No. m2 (NS.m2), Number of grains/spike (NG/S), 1000 weight grains (1000WG), Biological yield (BY), Straw yield (SY), Grain yield (GY), Harvest index (HI). The results indicated that the (LB) variety superiority the (LW) variety in characteristics of (SL), (NS/m2) and (GY), whereas the local white variety superiority it in characteristics of (LAF), (NG/S) and (GY) in both sites. The (SD) show that the depth (8 cm) was superior in the traits of (PH), (NS/m2), (BY), (SY) and (GY), while the depth (4 cm) was significantly superior in the trait of (1000WG) for the two experimental sites. For the two experimental sites, the treatment of adding (200 kg.ha-1) of hydrogel was superior in characteristics (LAF), (NS/m2), (NG/S), (1000WG), (BY), (SY), (GY) and (HI). The majority of the binary and triple interactions revealed substantial differences between them and for the majority of the attributes investigated, as well as for both locations.

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Section: Resultssupporting

confidence: 91%

Section: Resultssupporting

confidence: 90%

Section: Introductionmentioning

confidence: 90%

See 1 more Smart Citation

Effect of Jelly and Planting Depths on the Traits of Two Barley Verities

Ali

Khaleel²,

Al-Chalabi³

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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“…In agreement, a study by Dobocha et al. (2020) recorded a significantly higher yield by cultivar EH‐1493 compared with cultivar Traveller across different locations in Ethiopia. The mean yield at the study area for cultivar EH‐1493 and Traveller are 4,300 and 3,000 kg ha −1 , respectively (Assefa et al., 2021; Niguse & Mulatu, 2018).…”

Section: Discussionsupporting

confidence: 85%

“…In the current study, the yield reduction projected for cultivar EH-1493 (−19.7%) was lower than the reduction projected for cultivar Traveller (−44.4%) averaged across all study areas, models, and RCPs. In agreement, a study by Dobocha et al (2020) recorded a significantly higher yield by cultivar EH-1493 compared with cultivar Traveller across different locations in Ethiopia. The mean yield at the study area for cultivar EH-1493 and Traveller are 4,300 and 3,000 kg ha −1 , respectively (Assefa et al, 2021;Niguse & Mulatu, 2018).…”

Section: 2supporting

confidence: 80%

Simulating the effect of climate change on barley yield in Ethiopia with the DSSAT‐CERES‐Barley model

et al. 2022

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Climate change is expected to have a major effect on crop production in sub‐Saharan Africa. Crop models can help to guide crop management under future climate. The objective of the study was to investigate the possible effects of climate change on Ethiopian barley (Hordeum vulgare L.) production using the Decision Support System for Agrotechnology Transfer (DSSAT)‐Crop Environment Resource Synthesis (CERES)‐Barley model. The study included field data of two barley cultivars (Traveller and EH‐1493) and four climate study areas in Ethiopia over 5 yr. Climate change scenarios were set up over 60 yr using representative concentration pathways (RCP; RCP4.5 and RCP8.5) and five global climate models (GCM). The model results indicated that the prediction of days to anthesis and maturity, as well as final grain yield, was highly accurate for cultivar Traveller with normalized RMSE (nRMSE) of 2, 1, and 12%, respectively, and for cultivar EH‐1493 with nRMSE of 2, 4, and 11%. A consistent increase in average temperature up to 5 °C and a mixed pattern of rainfall (‐61 to +86%) were projected. Yield simulations showed a potential reduction in yield up to 98% for cultivar Traveller and 63% for cultivar EH‐1493 in the future. Within a sensitivity analysis, different sowing dates, sowing densities, and fertilizer rates were tested as potential adaptation approaches to climate change. The negative effects of climate change could be mitigated by early sowing, with an increased sowing density of 25% and fertilizer rate of 50% more than what is recommended. Overall, the results indicated the ability of the CERES‐Barley model to evaluate climate change effects and adaptation options on rainfed barley production in Ethiopia.

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Yield and Agronomic Performance of Food Barley Varieties in Southern Ethiopia Highlands

Derbew¹

2023

Trends Agric. Sci

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Background and Objective: Barley (Hordeum vulgare L.) is one of the major cereal crops grown in Ethiopia. The objective of this study was to select and recommend the best adapted and high-yielding late-maturing food barley varieties for the Sidama and Gedeo Zones of Southern Ethiopia. Materials and Methods: Fourteen late maturing food barley varieties and the local check were laid out in RCBD with three replications at three Research Sub Centers at Bule in 2013 and 2014 whereas at Gedeb and Abera Gelede in 2014 only. Results: Mean grain yield across locations indicated that six varieties were significantly yielded the local check

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Evaluation of Food Barley (Hordeum vugarae L.) Varieties by Varied Plant Population Densities in the Highlands of Arsi Zone, Southeastern Ethiopia

Cited by 3 publications

References 4 publications

Effect of Jelly and Planting Depths on the Traits of Two Barley Verities

Effect of Jelly and Planting Depths on the Traits of Two Barley Verities

Simulating the effect of climate change on barley yield in Ethiopia with the DSSAT‐CERES‐Barley model

Yield and Agronomic Performance of Food Barley Varieties in Southern Ethiopia Highlands

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