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Accueil du site → Doctorat → Inde → 2015 → ASSESSMENT OF CLIMATE CHANGE IMPACT ON RAIN WATER PRODUCTIVITY IN SEMI-ARID ALFISOL THROUGH AQUACROP MODEL IN MAIZE (Zea mays L.)

University of Agricultural Sciences, Raichur (2015)

ASSESSMENT OF CLIMATE CHANGE IMPACT ON RAIN WATER PRODUCTIVITY IN SEMI-ARID ALFISOL THROUGH AQUACROP MODEL IN MAIZE (Zea mays L.)

BARIKARA UMESHA

Titre : ASSESSMENT OF CLIMATE CHANGE IMPACT ON RAIN WATER PRODUCTIVITY IN SEMI-ARID ALFISOL THROUGH AQUACROP MODEL IN MAIZE (Zea mays L.)

Auteur : BARIKARA UMESHA

Université de soutenance : University of Agricultural Sciences, Raichur

Grade : Doctor of Philosophy (PhD) 2015

Résumé
The rainwater harvesting in the semi arid regions enhance the livelihoods of rainfed farmers by mitigating the dry spells under changing climate. The present study was laid out in a split-split plot statistical design with three replications. There were five main irrigation treatments viz., I0, I1, I2, I3, I4, two sub treatments viz., M0 (no mulching), M1 (mulching @ 5 t ha-1 with glyricidia) and two sub-sub treatments viz., NF (normal fertilizer) and HF (high fertilizer) to study the effect of supplemental irrigation and crop management practices on maize grain yield and water productivity in semi arid alfisols of Telangana state. The results of the present study showed that, the highest average grain yield of 3.19 t ha-1 was recorded in I4 and lowest was in I0 (1.78 t ha-1). The highest average water productivity (10.65 kg ha-1 mm-1) was recorded in I4 followed and the lowest was in I0 (7.60 kg ha-1 mm-1). The developed crop water production functions indicated that, the grain yield was increased with increase in depth of supplemental irrigation. The AquaCrop model was calibrated for simulation of grain yield, biomass and water productivity for all treatment levels and the prediction error statistics were 0.94 < E < 0.95 %, 0.06

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