The experiment is designed to evaluate the yield performance and profitability of mung bean varieties and to survey the innovation inclination of the farmers in the study area. The experiment was carried out in the potential environments of the North Shewa zone for two years during the main growing period. As experimental treatments, four mung bean cultivars of Rasa, NLV-1, Arkebe, and local varieties were used and evaluated across the four environments (two farmers' fields per each environment). The experimental plots were arranged in a simple random block design. The result of the combined analysis of variance revealed that there was highly significant variation (p < 0.01) of grain yield among the genotypes while the environments and genotype by environment interaction are found insignificant. The highest mean grain yield of 1430.6 kg ha was obtained from the improved variety Rasa, which was selected first by the farmers followed by the variety NVL-1. The results also confirmed the existence of a strong and statistically significant association between the actual values rank and the farmers' preference rank for both grain and biomass yields (R = .80, p < .001). Also, the variety Rasa provides the highest (686.6%) marginal rate of return on investment. Therefore, by considering the results of the grain yield performance, farmers' selection, and the result of the partial budget analysis the variety Rasa was recommended for the study areas.
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http://dx.doi.org/10.1016/j.heliyon.2022.e12525 | DOI Listing |
Toxins (Basel)
December 2024
Hebei Key Laboratory of Crop Stress Biology, Hebei Normal University of Science and Technology, Qinhuangdao 066004, China.
is the main pathogen of peanut pod rot in China. To investigate the type of toxin and its pathogenic mechanism, a macrolide, brefeldin A, was isolated. The structure of the compound was identified by 1D and 2D nuclear magnetic resonance (NMR) and high-resolution electrospray ionization-mass spectrometry (HR-ESI-MS).
View Article and Find Full Text PDFPeerJ
December 2024
National Omics Center, National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Pathum Thani, Thailand.
Background: Mungbean () is one of the most socio-economically important leguminous food crops of Asia and a rich source of dietary protein and micronutrients. Understanding its genetic makeup is crucial for genetic improvement and cultivar development.
Methods: In this study, we combined single-tube long-fragment reads (stLFR) sequencing technology with high-throughput chromosome conformation capture (Hi-C) technique to obtain a chromosome-level assembly of cultivar 'KUML4'.
Lancet Digit Health
January 2025
Department of Biomedical Informatics, Medical School, Harvard University, Boston, MA, USA. Electronic address:
Background: Patient notes contain substantial information but are difficult for computers to analyse due to their unstructured format. Large-language models (LLMs), such as Generative Pre-trained Transformer 4 (GPT-4), have changed our ability to process text, but we do not know how effectively they handle medical notes. We aimed to assess the ability of GPT-4 to answer predefined questions after reading medical notes in three different languages.
View Article and Find Full Text PDFHeliyon
December 2024
Department of Information Science, Addis Ababa University, Addis Ababa, Ethiopia.
Agriculture is the backbone of the Ethiopian economy. It plays a significant role in the growth of the national economy. Among these, mung bean production takes the highest level of income for most smallholder farmers in all regions of Ethiopia who cultivate mung bean crops.
View Article and Find Full Text PDFMol Biol Rep
December 2024
ICAR - Indian Institute of Pulses Research, Regional Station, Khordha, 752055, India.
Background: Charcoal Rot (CR) poses a significant threat to mung bean crops by reducing yield, making the development of resistant varieties crucial for stable production and food security. This study evaluated 19 newly identified mung bean landraces using biochemical traits and SSR markers, revealing genetic variability, CR disease reactions, and traits influencing yield and resistance, which provide valuable insights for breeding CR-resistant, high-yielding varieties.
Methods And Results: Mung bean landraces were evaluated for their response to CR using 4 biochemical parameters, and 10 SSR markers to assess genetic variability and disease resistance.
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