利用加州蔬菜系统的茎长预测谷物覆盖作物生物量

IF 2.3 4区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY
Eric B. Brennan, Richard F. Smith
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引用次数: 0

摘要

为了更好地了解覆盖作物的效益并获得覆盖作物的氮清除信贷,农民需要简单而稳健的方法来预测覆盖作物的生物量产量。一项旨在改善加州中部海岸20多万公顷灌溉土地氮管理的新法规促使我们评估黑麦(Secale cereale L.,“Merced”)和小黑麦(×Triticocele Wittmack,“Pacheco”)的地上部长度是否可以预测地上部生物量。黑麦(n=162)和小黑麦(n=126)的田间样品是在不同发育生长阶段从有机和传统蔬菜农场和种植日期试验中收集的,涉及多种土壤类型、种植时间、行距和植物密度。黑麦(r2=0.87)和小黑麦(r2=0.088)的主茎长与烘干茎生物量密切相关。这为加州及其他地区的农场提供了一种简单、稳健的方法来估计覆盖作物茎生物量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Predicting cereal cover crop biomass using shoot length in California vegetable systems

Predicting cereal cover crop biomass using shoot length in California vegetable systems

To better understand cover crop benefits and receive nitrogen scavenging credits for cover cropping, farmers need simple and robust methods of predicting cover crop biomass production. A new regulation focused on improving nitrogen management on over 200,000 ha of irrigated land in the central coast of California motivated us to evaluate if the shoot length of rye (Secale cereale L., ‘Merced’) and triticale (× Triticosecale Wittmack, ‘Pacheco’) could predict shoot biomass. Field samples for rye (n = 162) and triticale (n = 126) were collected at various developmental growth stages from organic and conventional vegetable farms and planting date trials, across multiple soil types, planting times, row spacings, and plant densities. Main shoot length was well-correlated with oven-dry shoot biomass for rye (r2 = 0.87) and triticale (r2 = 0.88). This provides farms in California and beyond with a simple, robust method to estimate cover crop shoot biomass.

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来源期刊
CiteScore
3.70
自引率
3.80%
发文量
28
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