Informations et ressources scientifiques
sur le développement des zones arides et semi-arides

Accueil du site → Master → Afrique du Sud → 2020 → Modelling the effects of mulch application rates on cowpea growth, yield and soil water content using APSIM

University of Venda (2020)

Modelling the effects of mulch application rates on cowpea growth, yield and soil water content using APSIM

Selamolela, Kamogelo Evidence

Titre : Modelling the effects of mulch application rates on cowpea growth, yield and soil water content using APSIM

Auteur : Selamolela, Kamogelo Evidence

Université de soutenance : University of Venda

Grade : Master of Science (MS) in Agriculture (Soil Science ) 2020

Résumé partiel
Early maturing crops that are drought-adapted together with mulch application have the potential to stabilize and increase dryland crop yields in semi-arid regions of the world. Agricultural systems models worldwide are increasingly being used to explore options and solutions for food security. Agricultural Production Systems Simulator (APSIM) is one such model that continues to be applied and adapted to meet this challenge. The APSIM model was used to assess the impact of different mulch application rates on cowpea grown under dry conditions in Vhembe district of South Africa.The objective of the study was to evaluate soil water content, crop water use efficiency (WUE), grain yield and the dry matter response of cowpea (Vigna unguiculata (L)) and validate the results using the model APSIM. Data taken from the study under optimum growth conditions was used to parametize the ASPSIM model. Soil water and fertility parameters measured were used for simulations while the same starting conditions were assumed for unmeasured parameters for all trials. Field experiments were conducted over two seasons (2016/17 and 2017/18). Treatments consisted of four levels of mulch application (0, 2, 4 and 8 t/ha) arranged in a randomized complete block design (RCBD) and replicated four times. The following parameters were measured : dry matter, grain yield, water use efficiency and soil water content. The data collected was subjected to analysis of variance using the randomised complete block design (RCBD) model and analyzed using the Statisticsl Analysis Systems (SAS) version : 9.4 at P ≤ 0.05 probability level. The perfomance of APSIM model was evaluated using root mean square error (RMSE), coefficient of efficiency (Ei), root mean square deviation (RMSD) and median unbiased absolute percentage error (MdUAPE).

Présentation

Version intégrale ( 1 Mb)

Page publiée le 18 juin 2022