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
小易发布了新的文献求助10
1秒前
1秒前
Tomsen完成签到,获得积分10
1秒前
HX完成签到,获得积分10
3秒前
5秒前
星辰大海应助fanfan采纳,获得10
5秒前
少卿发布了新的文献求助10
7秒前
9秒前
allllzq完成签到,获得积分10
9秒前
10秒前
10秒前
拾三发布了新的文献求助10
10秒前
11秒前
小巧的诗双完成签到,获得积分10
11秒前
HZH完成签到,获得积分10
12秒前
端庄不愁发布了新的文献求助10
12秒前
xiaocheche发布了新的文献求助10
13秒前
科研通AI2S应助agony采纳,获得10
13秒前
13秒前
FashionBoy应助kdc采纳,获得10
15秒前
15秒前
隐形曼青应助Nov采纳,获得10
16秒前
ydy完成签到,获得积分10
16秒前
lsl发布了新的文献求助10
16秒前
科研通AI6.3应助少卿采纳,获得10
17秒前
又或发布了新的文献求助10
18秒前
达瓦里氏完成签到 ,获得积分10
19秒前
20秒前
21秒前
21秒前
pz发布了新的文献求助10
25秒前
Cqy完成签到,获得积分20
26秒前
Gamen发布了新的文献求助10
26秒前
vandung发布了新的文献求助10
26秒前
27秒前
FashionBoy应助PPY采纳,获得10
28秒前
yzy应助Huang采纳,获得10
28秒前
Tineobius2025完成签到,获得积分10
29秒前
张欢馨应助拾三采纳,获得10
30秒前
垚垚应助ZAC采纳,获得10
30秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
Pediatric Dermoscopy Trichoscopy & Onychoscopy 2030
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7576693
求助须知:如何正确求助?哪些是违规求助? 9156229
关于积分的说明 19588131
捐赠科研通 7160518
什么是DOI,文献DOI怎么找? 3265072
关于科研通互助平台的介绍 2430197
邀请新用户注册赠送积分活动 2255690