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Analysis of Adaptive Response of Maize (<i>Zea mays</i>) Varieties from DR-Congo to Water Stress
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作者 Jean Pierre Kabongo Tshiabukole Amand Mbuya Kankolongo +3 位作者 gertrude pongi khonde Antoine Mumba Djamba Roger Kizungu Vumilia Kabwe Nkongolo 《American Journal of Plant Sciences》 2017年第9期2282-2295,共14页
Maize production in tropical Africa is often negatively affected by drought. The main objectives of the present study were to 1) analyze the impact of water stress on the agro-morphological performance of two varietie... Maize production in tropical Africa is often negatively affected by drought. The main objectives of the present study were to 1) analyze the impact of water stress on the agro-morphological performance of two varieties of Quality Protein Maize (QPM) compared to two normal maize varieties and 2) assess their adaptive response in contrasting water environments. Agro-morphological responses to water deficiency of maize (Zea mays L.) were assessed in controlled experiments using four maize varieties, two normal maize (Zm725 and Mus1) and two quality protein maize (Mudishi1 and Mudishi3) varieties. They were subjected to three water regimes (100%, 60%, 30% water retention capacity) at the beginning of the bloom stage, using a Fischer block design with four replications. Significant differences (p < 0.05) among varieties, water regimes and their interactions for plant growth and production parameters were observed. Reduction of water supply to plants caused changes in aerial and underground plant growth. Plant stem height, foliar expansion, and root system development characterizing vegetative growth showed variation in varietal response to water regimes. Mus1 (normal maize variety) was the best adapted to variations in water regimes because they developed an important root volume to adapt to the effects of water deficit while maintaining their morphological and productive characteristics. 展开更多
关键词 MAIZE (Zea mays L.) Drought Resistance Water Stress Leaf Area Index (LAI) Quality Protein MAIZE (QPM) DR-Congo
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Simulation of Growth and Leaf Area Index of Quality Protein Maize Varieties in the Southwestern Savannah Region of the DR-Congo
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作者 Jean Pierre Kabongo Tshiabukole Roger Kizungu Vumilia +4 位作者 gertrude pongi khonde Jean Claude Lukombo Lukeba Amand Mbuya Kankolongo Antoine Mumba Djamba Kabwe K. C. Nkongolo 《American Journal of Plant Sciences》 2019年第6期976-986,共11页
Logistic and exponential approaches have been used to simulate plant growth and leaf area index (LAI) in different growing conditions. The objective of the present study was to develop and evaluate an approach to simu... Logistic and exponential approaches have been used to simulate plant growth and leaf area index (LAI) in different growing conditions. The objective of the present study was to develop and evaluate an approach to simulate maize LAI that expresses key physiological and phonological processes using a minimum entry requirement for Quality Protein maize (QPM) varieties grown in the southwestern region of the DR-Congo. Data for the development and testing of the model were collected manually in experimental plots using a non-destructive method. Simulation results revealed measurable variations between crop seasons (long season A and short season B) and between the two varieties (Mudishi-1 and Mudishi-3) for height, number of visible leaves, and LAI. For both seasons, Mudishi-3, a short stature variety was associated with expected stable yield based on simulation data. In general, the model simulated reliably all the parameters including the LAI. The LAI value for mudishi-1 was higher than that of Mudishi-3. There were significant differences among the model parameters (K, Ti, a, b, Tf) and between the two varieties. In all crop conditions studied and for the two varieties, the senescence rate (a) was higher, while the growth rate (b) was lower compared to the estimates based on the STICS model. 展开更多
关键词 Modeling SIMULATION Climate Change LEAF Area Index Quality Protein Maize INERA RD-Congo
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