Shaping plant architecture for improved productivity: Strigolactones and beyond

生产力 建筑 生物 计算机体系结构 环境科学 计算机科学 地理 经济 考古 宏观经济学
作者
Sachin Rustgi,Jyoti Prasad Kakati,Sruthi Narayanan
出处
期刊:Advances in Agronomy [Elsevier BV]
卷期号:: 1-50
标识
DOI:10.1016/bs.agron.2024.02.006
摘要

Feeding the growing world population is a primary concern faced by plant breeders and producers. The world population of 8 billion is expected to reach 9.8 billion by 2050, which will demand a 60% increase in food production. These demands need to be met under changing climatic conditions and already stretched resources by extending the boundaries of agriculture to urban areas, deserts, and fresh and saltwater bodies. Additionally, crops are needed to support deep space explorations. Therefore, plants with desirable stature, organization, better resource use efficiency, and higher yield are required to meet these targets. The food security challenge is not new; from prehistoric times, humans shaped plant architecture to make plants fit their needs. For example, intentional/unintentional selection in different plants led to the development of un-branched maize from branched teosinte, spikes with more to fewer inflorescence branches in barley and wheat, tall vine-like plants into compact bushes in tomato and soybean, and from tall to semidwarf varieties in wheat, barley, rice, and sorghum. However, control of plant architecture is complex, as several phytohormone-signal transduction pathways, besides other genetic and epigenetic factors, determine it. Among the plant hormones, strigolactones are vital in shoot branching and root growth, influencing the plant's architecture. Given the importance of shoot architecture in determining yield, we reviewed different traits defining plant architecture and genetic and physiological factors contributing to these traits with attention to wheat, barley, rice, and Arabidopsis. We hope the information will help develop crops with desired architecture for terrestrial and extraterrestrial farming.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
1秒前
1秒前
1秒前
借水扬波发布了新的文献求助10
1秒前
科研通AI6.1应助Momiji采纳,获得10
1秒前
3秒前
所所应助fm采纳,获得10
3秒前
自觉元风完成签到,获得积分10
3秒前
shouren完成签到,获得积分10
4秒前
5秒前
6秒前
6秒前
科研通AI2S应助伶俐的血茗采纳,获得30
6秒前
123567发布了新的文献求助10
7秒前
清风发布了新的文献求助10
7秒前
斯文败类应助alan66采纳,获得10
7秒前
缓慢的书蝶完成签到 ,获得积分10
8秒前
8秒前
你好完成签到,获得积分10
8秒前
桐桐应助火绒草采纳,获得10
8秒前
KINGAZX发布了新的文献求助10
9秒前
优秀静珊完成签到,获得积分10
10秒前
wjxdsg发布了新的文献求助10
10秒前
10秒前
LiS发布了新的文献求助10
10秒前
33完成签到,获得积分20
10秒前
科研通AI6.3应助锂铂采纳,获得30
11秒前
小giao吃不饱完成签到,获得积分10
13秒前
bb完成签到,获得积分10
13秒前
13秒前
ljhui完成签到,获得积分20
14秒前
14秒前
万能图书馆应助liliuuuuuuuu采纳,获得10
15秒前
Snmmer发布了新的文献求助10
15秒前
16秒前
alan66完成签到,获得积分20
16秒前
思源应助Ellie采纳,获得10
16秒前
17秒前
zhangwenkang发布了新的文献求助10
17秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 1200
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
Adhesion Science: Principles & Practice 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6492681
求助须知:如何正确求助?哪些是违规求助? 8290272
关于积分的说明 17690439
捐赠科研通 5584589
什么是DOI,文献DOI怎么找? 2915411
邀请新用户注册赠送积分活动 1892511
关于科研通互助平台的介绍 1750705