Multi-objective optimization of water and fertilizer management for potato production in sandy areas of northern China based on TOPSIS

Wang, Haidong; Wang, Xiukang; Bi, Li-Fei; Ying, Wang; Fan, Junliang; Zhang, Fucang; Hou, Xianghao; Cheng, Minghui; Hu, Wenhui; Wu, Lifeng; Xiang, Youzhen

doi:10.1016/j.fcr.2019.06.005

Cited by 106 publications

(44 citation statements)

References 66 publications

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“…The results of correlation analysis and grey correlation analysis in this study showed that the content of available potassium in soil had a significant negative correlation with the yield, and the determination coefficient reached 0.1599. Potassium plays an important role in the transportation and accumulation of substances in potato plants [45]. Potato is an inefficient crop of potassium, and only when the amount of potash is greater than the amount needed for potato growth can the potato absorb enough potassium from the soil [46].…”

Section: Discussionmentioning

confidence: 99%

Exploring Options for Improving Potato Productivity through Reducing Crop Yield Gap in Loess Plateau of China Based on Grey Correlation Analysis

2019

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Differences in crop yield between different fields in the same region have existed for a long time. Methods for improving the productivity of low-yield fields are a hot topic in large-scale agriculture. This experiment was carried out in potato planting farmland and at a potato experimental station in the Loess Plateau in China to study the effects of soil moisture and soil nutrients on potato yield potential and yield gap. The relationships between potato yield and soil nutrient factors were analyzed using the grey correlation method. The grey correlation method is a new technique for performing prediction, relational analysis and decision-making in many areas. The results indicate that (1) the high-yield group at the potato experimental station (HE) was 72,678 kg/ha; the mean-yield group at the potato experimental station (ME) was 36,083 kg/ha; the high-yield group in the potato planting farmland (HF) was 34,259 kg/ha; and the mean-yield group in the potato planting farmland (MF) was 19,386 kg/ha. (2) The yield gap (YG1) between HF and MF was 14,873 kg/ha; the yield gap (YG2) between ME and the MF was 16,697 kg/ha; the yield gap (YG3) between HE and the MF was 53291 kg/ha. (3) The effects of soil moisture and nutrients on potato yield were ranked from large to small: soil available potassium content > soil nitrate nitrogen content > soil organic matter content > soil water content > soil available phosphorus content. The results of correlation analysis and grey correlation analysis showed that the available potassium had the strongest correlation with potato tuber yield. (4) The content of nitrate nitrogen was significantly correlated with the content of available potassium and available phosphorus, while the water content was significantly correlated with the content of organic matter. According to the influence of soil moisture and nutrients on the potato tuber yield, it is suggested that integrated water and fertilizer cultivation measures be implemented, and the input of potash fertilizer and nitrogen fertilizer be increased.

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Section: Discussionmentioning

confidence: 99%

Exploring Options for Improving Potato Productivity through Reducing Crop Yield Gap in Loess Plateau of China Based on Grey Correlation Analysis

2019

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“…The starch content was determined as described by Wang et al [36]. We measured reducing sugar content by the 3,5-2 nitrosalicylic acid colorimetric method [20].…”

Section: Collection and Analysis Of Soil Samples And Potato Tuber Sammentioning

confidence: 99%

The Correlation between Soil Nutrient and Potato Quality in Loess Plateau of China Based on PLSR

et al. 2020

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Potato tuber quality is influenced by the interaction of soil nutrients. Hence, simple correlation analysis cannot accurately reflect the true relationship between soil nutrients and potato tuber quality. In this study, potato tuber quality and soil nutrient content were used as research materials in the Loess Plateau of China. The partial least square regression (PLSR) method was used to establish the regression equation between potato quality and soil nutrient. The major soil nutrient indexes influencing potato quality were screened out to provide theoretical basis for potato field management. The results showed that the major soil nutrient factors influencing the potato tuber quality in Loess Plateau were soil ammonium nitrogen, soil nitrate nitrogen, soil available phosphorus, pH, and soil available potassium. Soil pH value is the most important factor affecting potato starch, reducing sugar content, and soluble protein content. Soil nitrate nitrogen is one of the important factors affecting potato tuber soluble total sugar content, vitamin C, browning intensity, and polyphenol oxidase activity. Soil ammonium nitrogen was positively correlated with the total soluble sugar content of potato tubers, and negatively correlated with reducing sugar content, browning intensity, and polyphenol oxidase activity. However, soil available potassium has positive effects on potato starch and reducing sugar content, and negative effects on soluble protein and browning strength. Results of this study indicates that the major soil nutrient factors influencing potato tuber quality were soil nitrate nitrogen and soil pH value.

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“…This paper aims to provide a scientific basis for efficient management of irrigation and N-fertilizer in the hot arid region of northwest India using 3-year field experiments and data analysis using multi-criteria optimization procedure. TOPSIS is an important technique of multiple attribute decision making 31 , which identifies positive and negative ideal solutions and ranking of alternatives based on the relative closeness to positive ideal solution 32 . It has been used to identify suitable irrigation and/ or nutrient application scheduling in different crop 31 – 33 .…”

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

Rathore

Nathawat

Bhardwaj

et al. 2021

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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), DI10, DI20, DI30, DI40 and DI50, with irrigation amount of 100, 90, 80, 70, 60 and 50% of ETc, respectively) and four N application rates (N0, N10, N20 and N30, with 0, 10, 20 and 30 kg N ha−1, 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, DI40 and DI50 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 DI20 increased WP by 17.1% with only marginal reduction in economic benefit (2.6%), and yield (3.2%). Compared to N0, the N30 had 1.7, 1.1, and 1.6-folds increased yield, oil content in the kernel, and WP, respectively. Among all treatments, DI0N30 had the greatest yield and net return; DI20N30 had greatest WP and oil content in the kernel. TOPSIS analysis showed that DI20N30 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.

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Multi-objective optimization of water and fertilizer management for potato production in sandy areas of northern China based on TOPSIS

Cited by 106 publications

References 66 publications

Exploring Options for Improving Potato Productivity through Reducing Crop Yield Gap in Loess Plateau of China Based on Grey Correlation Analysis

Exploring Options for Improving Potato Productivity through Reducing Crop Yield Gap in Loess Plateau of China Based on Grey Correlation Analysis

The Correlation between Soil Nutrient and Potato Quality in Loess Plateau of China Based on PLSR

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

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