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预测叶龄（叶片出现率）有助于人们了解和模拟禾本科作物的发育和生长。本文运用不同地点、品种和管理措施的田间资料对预测小麦叶龄的９个方程式进行了评价．每个方程式都以第一作者的名字命名。Ｂａｃｋｅｒ和Ｋｉｒｂｙ方程式主要根据幼苗出现后日长变化来预测叶龄；Ｃａｏ─温度式和Ｃａｏ─日式运用温度和日长的非线性关系；Ｃａｏ—Ｔ和Ｄ式运用了温度与日长的比率；Ｖｏｌｋ式改进了Ｃａｏ—Ｔ和Ｄ式计算；Ｍｉｇｌｉｅｔｔａ式运用了叶片出现率中的个体发育最后时期；而Ｍｉｇｌｉｅｔｔａ─日式增加了光照周期的影响。预测和实测冬小麦与春小麦品种叶龄间的ｒ２值在Ｂａｋｅｒ式中为（０．００１）０．４８６，Ｋｉｒｂｙ式中为（０．００２）０．４８７，Ｃａｏ─日式中为（０．０００）０．１７４，Ｍｉｇｌｉｅｔｔａ—日式中为（０．０１３）０．００８，Ｍｉｇｌｌｉｅｔｔａ式为（０．００２）０．４０５，Ｃａｏ—温式为（０．１００）０．１９０，Ｃａｏ—Ｆｉｅｌｄ式中为（０．０７８）０．０３６，Ｃａｏ—温和日式为（０．００６）０．０３０；Ｖｏｌｋ式为（０．１１９）０．０４３。所有方程式预测的春麦品种叶龄较冬麦品种更佳。Ｂａｋｅｒ和Ｍｔｇｌｉｅｔｔａ式表现为既不过?
Prediction of leaf age (leaf emergence rate) helps people understand and simulate the development and growth of gramineous crops. In this paper, 9 field equations for wheat leaf age were evaluated using field data from different locations, species and management practices. Each equation is named after the first author. Backer and Kirby equations mainly predict the leaf age based on the daily change of emergence of young seedlings; Cao ─ temperature and Cao ─ Japanese use temperature and the long-term nonlinear relationship; Cao-T and D using the temperature and the long ratio ; Volk’s improved Cao-T and D calculations; Miglietta’s utilized the last stages of individual development in leaf emergence; and Miglietta-Japanese increased the effects of photoperiod. The r2 values of predicted and measured leaf ages of winter wheat and spring wheat cultivars were (0.001) 0.486 in Baker equation, (0.002) 0.487 in Kirby equation and (0.000 ) 0.174, Miglietta-Japanese (0.013) 0.008, Migllietta (0.002) 0.405, Cao- (0.078) 0.036, Cao-mild Japanese (0.006) 0.030 and Volk-type (0.119) 0.043. All the equations predicts that the leaf age of spring wheat varieties is better than the winter wheat varieties. Baker and Mtglietta style performance as neither?