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Factors affecting hydraulic conductivity and methods to measure in plants
GENG Da-li, LI Lei, YANG Yu-sen, MA Feng-wang, GUAN Qing-mei
2022, 21 (2): 310-315.   DOI: 10.1016/S2095-3119(20)63396-2
Abstract487)      PDF in ScienceDirect      
The plant hydraulic network faces several challenges under drought stress.  Hydraulic conductivity is one of the major indicators of the hydraulic network’s response to drought stress.  Here, we review our current understanding of the factors directly affecting hydraulic conductivity and the methods used to measure it.   
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The dynamic impact of income and income distribution on food consumption among adults in rural China
LI Lei, ZHAI Shi-xian, BAI Jun-fei
2021, 20 (1): 330-342.   DOI: 10.1016/S2095-3119(20)63239-7
Abstract170)      PDF in ScienceDirect      
Previous studies have demonstrated that income has a significant effect on food demand in rural China.  However, little research has focused on the dynamic impact of income and income distribution on food demand in rural China.  Using China Health and Nutrition Survey data, this study employs a consistent two-step quadratic almost ideal demand system model, with addressed problems of endogeneity of total expenditure and zero shares, to estimate the food demand elasticities among adults in rural areas with regard to the different income strata.  The results show that changes in income and income strata have significant effects on food demand in rural areas.  Except for grains, all other food groups, including vegetables, oils and fats, animal products, and other foods, have positive income elasticities, and the rise in the income strata will lead to declining income elasticities for grains, vegetables, oils and fats, and
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Determination of Optimum Growing Degree-Days (GDD) Range Before Winter for Wheat Cultivars with Different Growth Characteristics in North China Plain
LI Qiao-yun, LIU Wan-dai, LI Lei, NIU Hong-bin, MA Ying
2012, 12 (3): 405-415.   DOI: 10.1016/S1671-2927(00)8558
Abstract1888)      PDF in ScienceDirect      
To provide base for adjusting the sowing date, achieving the yield potential of wheat cultivars with different growth characteristics, and improving the utilization rate of natural resource in the North China Plain (NCP), a 4-yr field experiment of growing degree-days (GDD) before winter (realized through different sowing dates) with three wheat (Triticum aestivum L.) cultivars of each type of semi-winterness and weak springness was carried out at 20 test experimental sites (32°4´N- 36°1´N) of Henan Province in the NCP. The results showed that: (i) yield of semi-winterness wheat was significantly higher than weak springness wheat (**P<0.01); (ii) there was a quadratic regression between the yield and GDD before winter. According to the regression equation, the optimum GDD range with high yield of semi-winterness and weak springness wheats was 750-770 and 570-590°C d, respectively; (iii) under the optimum GDD condition, the foliar age on the main stem of semi-winterness and weak springness wheats was 7.67-7.91 and 6.36-6.86 leaves, respectively, calculated by the linear regression equation between foliar age and GDD before winter; (iv) both semi-winterness and weak springness wheats were in the double ridge stage of spike differentiation under the condition of the optimum GDD range, and at this time, the foliar age on the main stem of semi-winterness and weak springness wheats was about 7.80 and 6.07 leaves, respectively, which was consistent with the results calculated by the liner regression equation. Therefore, we could consider that the sowing date is appropriate if the foliar age is about 7.8 and 6.3 leaves for semi-winterness and weak springness wheats, respectively. According to the results of this study, choosing semi-winterness wheat and planting 7- 10 d earlier would improve yield and natural resource utilization in NCP.
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