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4 articles for “yield related traits”
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Potato Varieties Adapted to Selected Woredas of Gamo Zone and Dirashe Woreda
Abstract: The study was conducted at three locations (Chosha, Yelagnaw Arguba and Zazie) for two consecutive years. It was carried out to evaluate and select high yielding, potato varieties for study areas and areas with similar agroecologies. The experiment consisted of eight potato varieties (six released varieties and two local checks). The study was conducted using a Randomized Complete Block Design with three sets of repeated measures. The combined analysis of …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 13, Issue 1, 2024 · pp. 33–40 Read article
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Adaptation of Recently Released Andean Common Bean (Phaseolus vulgaris L.) Varieties for Potential Areas in Wolaita Zone, South Ethiopia Region
Abstract: An experiment was conducted during the growing seasons of 2022 to 2023 at Areka and Kokate stations to evaluate and select high-yielding Andean common bean varieties, focusing on seed yield and associated traits. Seven common bean varieties, along with a local check, were subjected to evaluation using a randomized complete block design with four replications. The analysis of variance revealed a significant difference (P < 0.01) in seed yield, pod …
Published in Research & Reviews : Journal of Botany · Vol. 14, Issue 1, 2025 · pp. 12–19 Read article
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Flavonoid Contents and Antioxidant Activity of an Endophytic Bacteria Associated with Medicinal Plant Humulus lupulus
Abstract: Endophytes are symbiotic microorganisms, most often bacteria or fungi, that reside and multiply within plant tissues without inducing visible signs of disease or negatively affecting the host plant. Endophytic bacteria contribute to plant development by stimulating growth, strengthening defence mechanisms, enhancing tolerance to both abiotic and biotic stresses, and facilitating improved nutrient uptake. Endophytic bacteria serve as an important reservoir of bioactive compounds, notably antioxidant molecules, that play a crucial …
Published in Research & Reviews : Journal of Herbal Science · Vol. 14, Issue 3, 2025 · pp. 1–6 Read article
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Genomic Selection for Grain Yield in Wheat Using Machine Learning on DArT Molecular Markers: A Comparative Evaluation Across Multi-Environment Trials
Abstract: Genomic selection (GS) predicts complex quantitative traits directly from genome-wide molecular markers, bypassing the need for extensive phenotypic trials and accelerating plant breeding cycles. We conducted a comparative evaluation of seven regression approaches — ridge regression (the machine-learning equivalent of RR-BLUP), Lasso, Elastic Net, Partial Least Squares, linear Support Vector Regression, Random Forest, and Gradient Boosting — for predicting grain yield from 1,279 Diversity Array Technology (DArT) molecular markers genotyped …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 Read article