Scientia Agricultura Sinica ›› 2020, Vol. 53 ›› Issue (4): 734-747.doi: 10.3864/j.issn.0578-1752.2020.04.006

• TILLAGE & CULTIVATION·PHYSIOLOGY & BIOCHEMISTRY·AGRICULTURE INFORMATION TECHNOLOGY • Previous Articles     Next Articles

Effects of Different Mulching Patterns on Growth of Potato and Characteristics of Soil Water and Temperature in Dry Farmland

XueKe PU,ChunHua WU,YouMing MIAN,FangFang MIAO,XianQing HOU,Rong LI()   

  1. School of Agriculture, Ningxia University, Yinchuan 750021
  • Received:2019-05-19 Accepted:2019-10-08 Online:2020-02-16 Published:2020-03-09
  • Contact: Rong LI E-mail:lironge_mail@126.com

Abstract:

【Objective】 The effects of different mulching methods on soil water, temperature and potato growth in dry farmland of northwest China were studied. 【Method】 A field experiment was conducted in 2015 and 2016 for two consecutive years, and three mulching patterns were set up: full mulching of furrows and ridges with plastic film (DD), half film mulching of ridge and furrow (DB) and dual-mulching of ridge and furrow (DJ), the conventional flat field without mulching was used as the control check (CK). 【Result】 The soil water content with mulching treatments at the 0-200 cm soil layer during the whole growth period was higher than that under CK, especially the soil water retention effect under DJ treatment after 70-90 d sowing was the best. Different mulching treatments could reduce the soil water coefficient of variation at 0-200 cm soil layer, and the DJ treatment had the strongest vertical stability of soil water. The DD treatment had significant thermal insulation effect in 0-15 cm soil layer after 30-50 d sowing, while the DJ treatment had double effects of cooling and increasing temperature at 0-25 cm layer during the whole growth period, compared with CK. All the mulching treatments could reduce the variation coefficient of soil temperature at 0-25 cm soil layer, and the variation coefficient of soil temperature under DJ treatment was the smallest, while the vertical stability of soil temperature was the best. Mulching could increase the potato emergence rate, and affect emergence days. The average emergence days under DD treatment was 4.5 d earlier than that under CK, while DJ treatment delayed 3.5 d. The cumulative dynamics of biomass during the growth period of potato were consistent with the logistic growth equation. The theoretical value and growth rate of biomass under DJ treatment were the largest, and the rapid growth duration was the longest. 【Conclusion】 Through the principal component analysis, it was found that besides some factors of potato biomass, number of potatoes per plant, and potato per hectare, the soil water had a higher effect on potato growth than soil temperature, which was an important factor limiting potato high yield. DJ could improve soil moisture status and maintain relatively stable soil. Water temperature environment was beneficial to potato growth and tuber yield.

Key words: mulching of furrow-and-ridge, soil water, soil temperature, variation coefficient, potato biomass

Fig. 1

Monthly distribution of precipitation and air temperature during the potato growing season"

Fig. 2

Vertical change of soil water content at 0-200 cm soil layers during the potato growing period under different treatments"

Fig. 3

Soil water coefficient of variation at 0-200 cm layers under different treatments"

Fig. 4

Dynamic change of soil temperature at the 0-25 cm soil layer under different treatments during the potato growth period"

Table 1

Fitting characteristic and coefficient of variation in the soil temperatures under different treatments"

年份
Year
处理
Treatment
马铃薯生育期不同土层平均土壤温度
Average soil temperature in different soil layers of potato growing period (°C)
拟合公式
Fitting formula
判定系数
Determination
coefficient (R2)
变异系数
Variation coefficient (%)
5 cm 10 cm 15 cm 20 cm 25 cm
2015 DD 20.45a 19.91a 18.91a 17.42a 17.50a Y=21.48e-0.009x 0.93 6.52
DJ 17.34b 16.42b 15.70c 15.38b 15.56b Y=17.49e-0.006x 0.82 4.50
DB 19.89a 17.87ab 16.82bc 17.50a 15.77ab Y=20.27e-0.01x 0.81 7.77
CK 19.21ab 17.70ab 17.62ab 18.64a 14.55b Y=20.32e-0.01x 0.54 9.19
2016 DD 22.61a 21.94a 20.78a 20.73a 20.21a Y=23.11e-0.006x 0.90 4.15
DJ 20.34b 19.86b 19.41a 19.30a 19.32a Y=20.43e-0.003x 0.85 2.06
DB 21.25ab 20.95a 19.57a 19.68a 18.56ab Y=22.08e-0.007x 0.915 4.90
CK 21.20ab 20.98a 19.42a 20.90a 16.83b Y=22.77e-0.009x 0.57 8.29

Fig. 5

Effects of different treatments on seedling rate and seedling days of potato Different letters indicate significant differences among treatments within each season at P<0.05"

Table 2

Parameter eigenvalues of biomass accumulation model of potato above-ground biomass under different treatments"

年份
Year
处理
Treatment
拟合参数 Regression parameter R2 快速生长期特征值 Characteristic Value of Rapid Growth period
Km ( t·hm-2) a b T1 (d) T2 (d) T0(d) ΔT(d) Vmax ( t·hm-2·d-1)
2015 DD 13.2 103.1 0.059 0.991** 56.3 100.9 44.6 78.6 0.19
DJ 15.0 96.3 0.057 0.976** 57.0 103.2 46.21 80.1 0.21
DB 9.3 158.7 0.069 0.987** 54.3 92.5 38.2 73.4 0.16
CK 8.5 181.9 0.072 0.97*0* 54.0 90.6 36.6 72.3 0.15
2016 DD 13.0 64.8 0.061 0.987** 46.8 90.0 43.14 68.4 0.20
DJ 14.3 85.1 0.059 0.993** 53.0 97.6 44.6 75.3 0.21
DB 7.3 69.8 0.064 0.971** 45.8 86.9 41.1 66.3 0.12
CK 6.5 64.5 0.066 0.964** 43.2 83.1 39.9 63.1 0.11

Table 3

Parameter eigenvalues of potato tuber dynamic accumulation model under different treatments"

年份
Year
处理
Treatment
拟合参数 Regression parameter R2 快速生长期特征值 Characteristic value of rapid growth period
Km ( t·hm-2) a b T1 (d) T2 (d) T0 (d) ΔT (d) Vmax ( t·hm-2·d-1)
2015 DD 12.09 181.68 0.055 0.986** 70.64 118.53 47.89 94.6 0.17
DJ 13.47 199.62 0.053 0.979** 75.08 124.78 49.70 99.9 0.18
DB 10.06 186.31 0.056 0.982** 69.83 116.87 47.04 93.4 0.14
CK 9.26 162.30 0.058 0.965** 65.04 110.46 45.42 87.8 0.13
2016 DD 11.51 186.45 0.055 0.949** 71.11 119.01 47.89 95.1 0.16
DJ 13.40 163.51 0.052 0.963** 72.69 123.35 50.66 98.0 0.17
DB 10.22 163.07 0.056 0.972** 67.45 114.49 47.04 91.0 0.14
CK 8.09 142.31 0.058 0.983** 62.78 108.19 45.42 85.5 0.12

Table 4

Principal component eigenvalue and contribution rate"

成分
Component
特征值
Standard
deviation
方差百分比
Variance percentage (%)
累积贡献率
Cumulative contribution (%)
X1 6.96 86.93 86.94
X2 0.89 11.06 97.99
X3 0.16 2.01 100.00

Fig. 6

PC1 and PC2 related factor load distribution and principal component score"

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