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Irrigation depth and nitrogen rate effects on seed cotton yield, fiber quality and water-nitrogen utilization efficiency in southern Xinjiang, China

Author

Listed:
  • Bai, Zhentao
  • Bai, Wenqiang
  • Xie, Cong
  • Yu, Jiang
  • Dai, Yulong
  • Pei, Shengzhao
  • Zhang, Fucang
  • Li, Yunxia
  • Fan, Junliang
  • Yin, Feihu

Abstract

Seed cotton yield and fiber quality are two primary factors that influence the international competitiveness of cotton. To enhance the water-nitrogen utilization efficiency and promote the sustainable cotton production, field experiments were performed in 2020 and 2021 to explore the effects of irrigation depth and nitrogen (N) fertilization rate on N uptake and distribution, seed cotton yield, fiber quality traits and water-nitrogen utilization efficiency in the Korla region of southern Xinjiang, China. Three irrigation depths (W1: 60% ETc, W2: 80% ETc, W3: 100% ETc; ETc was crop water consumption) and four N rates (N0: 0 kg ha−1, N200: 200 kg ha−1, N300: 300 kg ha−1, N400: 400 kg ha−1) were applied. The results showed irrigation depth and N rate significantly influenced N uptake and distribution in plant organs, seed cotton yield, crop water productivity (WP), partial factor productivity of nitrogen (PFPN) and some fiber quality traits. Increasing irrigation depth improved plant height, leaf area index, aboveground dry matter and seed cotton yield, while increasing N rate increased and then declined these indicators. At the squaring and flowering stages, the N accumulation in all parts of cotton increased as irrigation depth and N rate increased, whereas it increased and then declined with increasing N rate at the boll-setting and harvesting stages. At the squaring and flowering stages, N was mainly accumulated in the leaves. As the growth period progressed, N was transported to bolls and the proportion of N content in leaves decreased. The proportion of N accumulation in cotton bolls was largest at the boll-setting and harvesting stages, and the N accumulation in plant organs followed the order of boll > leaf > stem > root. As irrigation depth increased, PFPN increased but WP decreased. As N rate increased, PFPN decreased but WP increased and then declined. The increases in N rate improved fiber quality. The maximum seed cotton yield (7578 kg ha−1 in 2020 and 7173 kg ha−1 in 2021) and greater WP, PFPN and fiber quality occurred in W3N300, which was recommended as a sustainable cotton production strategy in the Korla region of southern Xinjiang and elsewhere with similar environments to improve water-nitrogen utilization efficiency, seed cotton yield and alleviate soil nitrate pollution risk.

Suggested Citation

  • Bai, Zhentao & Bai, Wenqiang & Xie, Cong & Yu, Jiang & Dai, Yulong & Pei, Shengzhao & Zhang, Fucang & Li, Yunxia & Fan, Junliang & Yin, Feihu, 2023. "Irrigation depth and nitrogen rate effects on seed cotton yield, fiber quality and water-nitrogen utilization efficiency in southern Xinjiang, China," Agricultural Water Management, Elsevier, vol. 290(C).
  • Handle: RePEc:eee:agiwat:v:290:y:2023:i:c:s0378377423004481
    DOI: 10.1016/j.agwat.2023.108583
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    1. Ünlü, Mustafa & Kanber, RIza & Koç, D. Levent & Tekin, Servet & Kapur, Burçak, 2011. "Effects of deficit irrigation on the yield and yield components of drip irrigated cotton in a mediterranean environment," Agricultural Water Management, Elsevier, vol. 98(4), pages 597-605, February.
    2. Feng, Genxiang & Zhang, Zhanyu & Wan, Changyu & Lu, Peirong & Bakour, Ahmad, 2017. "Effects of saline water irrigation on soil salinity and yield of summer maize (Zea mays L.) in subsurface drainage system," Agricultural Water Management, Elsevier, vol. 193(C), pages 205-213.
    3. Ertek, Ahmet & Kanber, Riza, 2003. "Effects of different drip irrigation programs on the boll number and shedding percentage and yield of cotton," Agricultural Water Management, Elsevier, vol. 60(1), pages 1-11, April.
    4. Tsakmakis, I.D. & Kokkos, N.P. & Gikas, G.D. & Pisinaras, V. & Hatzigiannakis, E. & Arampatzis, G. & Sylaios, G.K., 2019. "Evaluation of AquaCrop model simulations of cotton growth under deficit irrigation with an emphasis on root growth and water extraction patterns," Agricultural Water Management, Elsevier, vol. 213(C), pages 419-432.
    5. Ierna, Anita & Pandino, Gaetano & Lombardo, Sara & Mauromicale, Giovanni, 2011. "Tuber yield, water and fertilizer productivity in early potato as affected by a combination of irrigation and fertilization," Agricultural Water Management, Elsevier, vol. 101(1), pages 35-41.
    6. Chen, Xiaoping & Qi, Zhiming & Gui, Dongwei & Sima, Matthew W. & Zeng, Fanjiang & Li, Lanhai & Li, Xiangyi & Gu, Zhe, 2020. "Evaluation of a new irrigation decision support system in improving cotton yield and water productivity in an arid climate," Agricultural Water Management, Elsevier, vol. 234(C).
    7. Oweis, T.Y. & Farahani, H.J. & Hachum, A.Y., 2011. "Evapotranspiration and water use of full and deficit irrigated cotton in the Mediterranean environment in northern Syria," Agricultural Water Management, Elsevier, vol. 98(8), pages 1239-1248, May.
    8. Zhang, Yucui & Lei, Huimin & Zhao, Wenguang & Shen, Yanjun & Xiao, Dengpan, 2018. "Comparison of the water budget for the typical cropland and pear orchard ecosystems in the North China Plain," Agricultural Water Management, Elsevier, vol. 198(C), pages 53-64.
    9. Du, Taisheng & Kang, Shaozhong & Zhang, Jianhua & Li, Fusheng & Hu, Xiaotao, 2006. "Yield and physiological responses of cotton to partial root-zone irrigation in the oasis field of northwest China," Agricultural Water Management, Elsevier, vol. 84(1-2), pages 41-52, July.
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