Breeding for Aphid Resistance in Rapeseed Mustard

油菜籽 生物 蚜虫 抗性(生态学) 芸苔属 农学 园艺
作者
Sarwan Kumar,S. S. Banga
出处
期刊:Springer eBooks [Springer Nature]
卷期号:: 171-199 被引量:5
标识
DOI:10.1007/978-981-10-6056-4_6
摘要

The productivity of oilseed brassicas is severely affected by aphid pests. Among the different aphid species, turnip/mustard aphid, Lipaphis erysimi (Kaltenbach), is the key pest of oilseed brassicas in Indian subcontinent inflicting 35.4–91.3% losses under different agroclimatic conditions. The development of an aphid-resistant cultivar offers an effective, economic and eco-friendly method of its management which requires the availability of a crossable source of resistance. Brassica plants employ a plethora of biophysical and biochemical defence mechanisms against insects, which range from surface waxes and trichomes to production of toxic biochemicals such as glucosinolates, isothiocyanates, lectins, volatiles, alkaloids, etc. Such resistant plants can be identified by an effective screening protocol, and the gene(s) of interest can be transferred to the desirable agronomic background by conventional breeding or marker-assisted selection. Not much progress has been made in breeding for resistance in brassicas against aphids primarily due to non-availability of resistant source within the crossable germplasm as well as lack of knowledge on its trait genetics. Though some success has been achieved to introgress the gene of interest to a desirable agronomic background, it has complex and elaborate breeding requirements. An alternate strategy to conventional breeding is the use of insect-resistant transgenes through genetic engineering, but this strategy has its own associated issues. Thus, the development of aphid-resistant cultivars requires more research on aphid-plant interactions to identify either an effective aphid resistance gene or a phenomenon that can lead to a new mechanism of resistance.

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
FM完成签到,获得积分10
1秒前
1秒前
丘比特的应助被小眼儿采纳,获得10
1秒前
小晴天完成签到,获得积分10
2秒前
huihui发布了新的文献求助10
2秒前
ZY完成签到 ,获得积分10
2秒前
invisight的应助被敖江风云采纳,获得10
3秒前
zgx完成签到,获得积分0
3秒前
GS草台班子的应助被研友_Z33EGZ采纳,获得50
3秒前
3秒前
小马甲的应助被认真的小懒虫采纳,获得10
3秒前
3秒前
wangting发布了新的文献求助10
4秒前
wanci的应助被oo采纳,获得10
4秒前
xuzhijie完成签到,获得积分10
4秒前
蓬荜生辉发布了新的文献求助10
4秒前
4秒前
ding的应助被yu采纳,获得10
4秒前
4秒前
ABY完成签到,获得积分10
5秒前
谨慎的咖啡豆完成签到,获得积分10
5秒前
7秒前
书白发布了新的文献求助20
7秒前
tempt完成签到,获得积分10
7秒前
7秒前
dddd完成签到,获得积分10
8秒前
时光漫步完成签到,获得积分10
9秒前
所所的应助被你好好想想采纳,获得10
9秒前
爆米花的应助被libai采纳,获得10
9秒前
10秒前
hhh关注了科研通微信公众号
10秒前
大个的应助被钙离子采纳,获得10
10秒前
下周一发布了新的文献求助10
11秒前
大个的应助被CT采纳,获得10
11秒前
Andrew_Y完成签到,获得积分10
11秒前
HM完成签到,获得积分10
11秒前
11秒前
yiye完成签到,获得积分10
11秒前
YanYingHaoComeon完成签到,获得积分10
11秒前
erniu发布了新的文献求助10
11秒前
高分求助中
(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
Les Mantodea De Guyane 2000
Energie-Contracting 1500
Klimaschutzrecht durch den Energiesektor im Mehrebenensystem – Ein Rechtsvergleich 1000
Stochastic Models in Operations Research,Vol. 2 600
Guidelines for fracture-safe and fatigue-reliable design of steel structures 600
Problems and Solutions for Integer and Combinatorial Optimization: Building Skills in Discrete Optimization 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8026985
求助须知:如何正确求助?哪些是违规求助? 9467959
关于积分的说明 21229181
捐赠科研通 7597686
什么是DOI,文献DOI怎么找? 3387656
关于科研通互助平台的介绍 2520220
邀请新用户注册赠送积分活动 2424053