نتایج جستجو برای: crop performance
تعداد نتایج: 1112825 فیلتر نتایج به سال:
Yield losses occurring at the field level, whether due to plant diseases or abiotic stresses, reveal reduced stability of the crop yield potential. The paper argues that the stability of crop yield potential is a trait with a clear genetic component, which can be successfully selected for at the single-plant level and incorporated into high-yielding cultivars. Two novel selection equations with...
heuristics are often used to provide solutions for flow shop scheduling problems.the performance of a heuristic is usually judged by comparing solutions and run times on test cases.this investigation proposes an analytical alternative ,called asymptotic convergence ,which tests the convergence of the heuristic to a lower bound as problem size grows. the test is a stronger variation of worst cas...
Transgene introgression into crop weedy/wild relatives can provide natural selective advantages, probably causing undesirable environmental impact. The advantages are likely associated with factors such as transgenes, selective pressure, and genetic background of transgene recipients. To explore the role of the environment and background of transgene recipients in affecting the advantages, we e...
Estimation of specific crop and acreage plays a vital role in the field of crop planning, monitoring, crop condition, yield forecasting and acreage estimation. There have been several studies conducted to classify the crops at continental to the regional level, but still, work is needed to map small area covered by different crops using Remote Sensing technology. The main objective of the prese...
Recently, grey relational analysis (GRA) has been widely applied in analyzing multivariate time series data (MTS); as a solution to the traditional statistical limitations. GRA, which has been proven to be simple and accurate method for analysing relationship in MTS are broadly used in various disciplines such as economics, sociology and engineering. GRA is employed to search for grey relationa...
Accurate predictions of crop yield are critical for developing effective agricultural and food policies at the regional and global scales. We evaluated a machine-learning method, Random Forests (RF), for its ability to predict crop yield responses to climate and biophysical variables at global and regional scales in wheat, maize, and potato in comparison with multiple linear regressions (MLR) s...
Submitted: Mar 17, 2013; Accepted: May 1, 2013; Published: Aug 5, 2013 Abstract: Twelve accessions of tropical pumpkin of South Eastern Nigeria were evaluated in 2010 and 2011 to determine the extent of variability that exit in fruit, seed and leaf yield of the crop and to constitute a germplasm collections. Results of the study show that there exists a sufficient genetic variability among the ...
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