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作 者:周米生[1] 王陆军[1] 姜春武 ZHOU Mi-sheng;WANG Lu-jun;JIANG Chun-wu(Anhui Academy of Forestry,Hefei 230031,China)
出 处:《江西农业学报》2024年第3期34-39,共6页Acta Agriculturae Jiangxi
基 金:中央财政科技推广项目“江淮丘陵地区‘薄—榛—椒’复合经营技术推广示范”(皖[2021]TG04号)。
摘 要:以波尼、马汉、卡多、赛普洛斯、贝壳等薄壳山核桃品种为试验对象,定期对核桃果实的纵径、横径的生长量进行观测,通过果实解剖掌握果实的发育阶段,最后分别应用Logistic模型、二次多项式、三次多项式对果实的两径数据进行拟合。结果表明:各品种果实的两径生长均呈现出典型的“S”形曲线,且纵径的累计生长量始终大于横径;三次多项式对果实的两径拟合效果均优于Logistic模型和二次多项式,其中三次多项式的拟合系数均超过0.991,且与实测数据的相关性均达到极显著水平,表明三次多项式能够更好地拟合薄壳山核桃果实的发育过程。拟合方程可确定不同品种果实发育的各个时间节点,结合果实解剖结果,可揭示各品种果实的发育进程。Five commercial pecan varieties(‘Pawnee’,‘Mahan’,‘Caddo’,‘Surprise’and‘Baker’)were used as test materials.The growth parameters of the pecan fruit were measured regularly,such as longitudinal diameter and transverse diameter,and the fruits dissected in transverse section were examined at morphological stages.Longitudinal diameter and transverse diameter were fitted by Logistical model,quadratic polynomial and cubic polynomial.The results showed that the seasonal growth of five pecan fruits performed‘S’curve,and the accumulation of longitudinal diameter was always bigger than that of transverse diameter.The fitting results of cubic polynomial was better than those of Logistic model and quadratic polynomial,and the coefficient of cubic polynomial was more than 0.991,showing significant correlation with actual growth data,which proved that cubic polynomial could provide more accurate forecast for pecan fruit seasonal growth and development.The fitting equation predetermined the development stages of the fruits.Combined with the fruit anatomy results,the growth and development process of pecan fruit was revealed.
关 键 词:薄壳山核桃果实 果实生长发育 Logistic模型 二次多项式 三次多项式
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