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Loss of Certified Maize (<i>Zea mays</i>L.) and Cowpea (<i>Vigna unguiculata</i>(L.) Walp.) Seed Viability during Storage in a Sub-Saharan Region: Analysis of Environmental Factors
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作者 Willy Kaja Ngombo Adrien Kalonji-Mbuyi +1 位作者 Roger Kizungu Mvumilia Kabwe Nkongolo 《American Journal of Plant Sciences》 2021年第9期1410-1424,共15页
The objective of this study was to characterize environment factors involved in loss of seed viability during storage in open granaries. The temperature and relative humidity of the granary as well as the equilibrium ... The objective of this study was to characterize environment factors involved in loss of seed viability during storage in open granaries. The temperature and relative humidity of the granary as well as the equilibrium moisture content of seeds were determined monthly. Their effects on the loss of viability of maize (<i>Zea mays</i> L.) and cowpea (<i>Vigna unguiculata</i> (L.) Walp.) seeds were examined. The results showed that relative humidity levels > 65% associated with temperatures > 25°C (conditions in the open granary) do not guarantee safe storage of maize lots for a period of 9 to 12 months. Based on these data and the results of seed viability analysis, local environmental conditions in Gandajika (DR-Congo) and seed genetic background are the main factors for the rapid deterioration of seeds during storage. The germination rate correlated negatively with storage duration (<span style="font-family:;" "="">-0.94) and temperature (-0.57) while it correlates positively with the relative humidity (0.58) for both lots of maize analyzed. The same trend was observed with the two-cowpea varieties studied (IT82D-889 and Diamant). Similar work using more varieties in other granaries is required to validate key factors involved in seed viability during storage in targeted regions.</span> 展开更多
关键词 Seed Viability STORAGE Maize (Zea mays L.) Cowpea (Vigna unguiculata): DR-Congo Modeling Approach
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Growth and Leaf Area Index Simulation in Maize(Zea mays L.)under Small-Scale Farm Conditions in a Sub-Saharan African Region
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作者 Jean-Claude Lukombo Lukeba Roger Kizungu Vumilia +2 位作者 Kabwe C.K.Nkongolo Moise Lufuluabo Mwabila Mbungu Tsumbu 《American Journal of Plant Sciences》 2013年第3期575-583,共9页
Different crop models including MAIZE Ceres, STICS and other approaches have been used to simulate leaf area index (LAI) in maize (Zea mays L.). These modeling tools require genotype-specific calibration procedures. S... Different crop models including MAIZE Ceres, STICS and other approaches have been used to simulate leaf area index (LAI) in maize (Zea mays L.). These modeling tools require genotype-specific calibration procedures. Studies on modeling LAI dynamics under optimal growth conditions with yields close to the yield potential have remained scarce. In the present study, logistic and exponential approaches have been developed and evaluated for the simulation of LAI in maize in a savannah region of the DR-Congo. Data for the development and the evaluation of the model were collected manually by non-destructive method from small farmers’ field. The rate of expansion of the leaf surface and the rate of change of leaf senescence were also simulated. There were measurable variations among sites and varieties for the simulated height of maize plants. At all sites, the varieties with short plants were associated with expected superior performance based on simulation data. In general, the model underestimates the LAI based on observed values. LAI values for the genetically improved maize varieties (Salongo 2, MUS and AK) were greater than those of the unimproved local variety (Local). There were significant differences for K, b, Ti, LAI, Tf, and parameters among models and varieties. In all sites and for all varieties, the growth rate (b) was higher, while the rate of senescence (a) was lower compared to STICS estimates. 展开更多
关键词 Leaf Area Index and Senescence MAIZE Simulation Models DR-Congo
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