Details

Autor(en) / Beteiligte

• Rathore, Vijay Singh
• Nathawat, Narayan Singh
• Bhardwaj, Seema
• Yadav, Bhagirath Mal
• Kumar, Mahesh
• Santra, Priyabrata
• Praveen Kumar
• Reager, Madan Lal
• Yadava, Narendra Dev
• Yadav, Om Parkash

Titel

Optimization of deficit irrigation and nitrogen fertilizer management for peanut production in an arid region

Ist Teil von

• Scientific reports, 2021-03, Vol.11 (1), p.5456-5456, Article 5456

Ort / Verlag

England: Nature Publishing Group

Erscheinungsjahr

2021

Quelle

Free E-Journal (出版社公開部分のみ）

Beschreibungen/Notizen

• Deficit irrigation (DI) has been emerging as an important technique for enhancing crop water productivity (WP). However, advantage of DI under varying nitrogen (N) application rates remains unclear. Field experiments were conducted during 2012-2014 to investigate the impacts of six irrigation levels[FI (full irrigation), DI , DI , DI , DI and DI , with irrigation amount of 100, 90, 80, 70, 60 and 50% of ETc, respectively) and four N application rates (N , N , N and N , with 0, 10, 20 and 30 kg N ha , respectively) on WP, yield, quality, and net economic return of peanut in hot arid region of India. We used Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method to obtain the optimal combination of irrigation and N rates. Both irrigation level and nitrogen dose had significant effects on yield and quality parameters examined in the study. Relative to FI, DI and DI significantly reduced yield (40.2-62.1%), economic benefit (70.8-118.5%), WP (8.2-33.0%), and kernel oil content (7.5-11.9%), but DI increased WP by 17.1% with only marginal reduction in economic benefit (2.6%), and yield (3.2%). Compared to N , the N had 1.7, 1.1, and 1.6-folds increased yield, oil content in the kernel, and WP, respectively. Among all treatments, DI N had the greatest yield and net return; DI N had greatest WP and oil content in the kernel. TOPSIS analysis showed that DI N was optimal in balancing of WP, yield, net return, and quality of peanut in northwestern arid India. The results have direct implications for improving irrigation water and N management for irrigated crops in arid regions.