Quantification of vegetative development of faba bean, oats, and Italian ryegrass

Author:

Mohammed Yusoff M.,Moot D. J.,McKenzie B. A.,Hill G. D.

Abstract

This study quantified the relationship between vegetative development and temperature of ‘Old New Zealand’ faba bean, ‘Milton’ oats, and ‘Feast II’ Italian ryegrass using thermal time (Tt, degree-days) calculations. Each species was sown on five dates in autumn and winter 2008 and three dates in autumn 2009. The linear model for rate of development calculated the Tt requirement of faba bean for 75% emergence as 217 degree-days (base temperature (Tb) = 1.2°C), compared with 132 (Tb = 1.6°C) for oats and 132 (Tb = 1.8°C) for Italian ryegrass. Leaf appearance had a Tb of 2.4°C for faba bean, 3.0°C for oats, and 0.7°C for Italian ryegrass. The mean phyllochron (degree-days leaf–1) was 66 ± 1 for faba bean, 123 ± 3.90 for oats, and 120 ± 4.21 for Italian ryegrass. Soil temperature at 20 mm depth was the most accurate predictor of Tb and the Tt requirements to reach 75% emergence. Conversely, air temperature on-site was required to predict the phyllochron for faba bean because of its elevated growing point. Either air or soil temperature at the experimental site or at a nearby meteorological station could be used to define the phyllochron for oats and Italian ryegrass. These results highlight the importance of both soil and air temperatures to accurately define vegetative development before the processes are included in simulation models for these winter annual forage crops.

Publisher

CSIRO Publishing

Subject

Plant Science,Agronomy and Crop Science

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3