OPTIMIZATION OFRECOVERABLE CLEAR PLASTIC POT(rCPP) METHOD AND VALIDATION OF MOLECULAR MARKS FOR THE SCREENING OF DEEP ROOTING OF RICE (Oryza sativaL.)

Author:

Pratama Mukhlis Syahril,Basunanda PanjisaktiORCID,Wulandari Rani AgustinaORCID,Widyawan Muhammad Habib

Abstract

AbstractThe generally of Rice plants have shallow roots and require large amounts of water for cultivation. However, water resources are becoming increasingly limited due to climate change. Therefore, efforts are needed to improve rice genetics in order to produce stable crop production in drought-prone areas. One strategy to avoid drought stress is to change the architecture of deeper rooting. The identification can be done by screening the root morphology. Most of the screening methods for deep rooting ability in rice are stilldestructive, so the proposed activity in this study is the optimization of theRecoverable Clear Plastic Pot(rCPP) method that can detect deep rooting ability in rice early andnon-destructively. The method was further validated using InDel and SSR-based molecular markers designed based on theDRO1gene. TheDRO1gene plays a role in increasing the root growth angle, so that the roots grow in a deeper vertical direction. The results showed thatRecoverable Clear Plastic Pot(rCPP) optimization was able to show good screening ability for plant root charactersnon-destructively. Mayangan is the best drought-tolerant genotype based on deep rooting characters that have root distribution centered on theinner circle. The relationship between deep rooting screening using the DRO1 marker provides results that are in line with deep rooting screening through theRecoverable Clear Plastic Pot(rCPP) method.HighlightThis research is part of an effort to improve rice genetics in order to produce stable crop production in drought-prone areas.The research activities used the optimizationRecoverable Clear Plastic Pot(rCPP) method.The rCPP method was validated using InDel and SSR-based molecular markers designed based on theDRO1gene.Optimization of rCPP shows good screening ability for plant rooting characters in anon-destructive manner.

Publisher

Cold Spring Harbor Laboratory

Reference73 articles.

1. Arnama, I.N. 2018. Pertumbuhan dan produksi dua varietas padi sawah (Oryza sativa L.) dengan variasi jumlah bibit per rumpun. Skripsi. Universitas Hasanuddin, Makassar.

2. Pengaruh Pola Curah Hujan Terhadap Produktivitas Padi di Kecamatan Bukateja Kabupaten Purbalingga

3. Landraces and Crop Genetic Improvement

4. Berntson, G.M. , Lynch, J.P. , Snapp, S. , 1997. Fractal geometry and plant root systems: current perspectives and future applications. In: Baveye, P. , Parlange, J.Y. , Stewart, B.A. (Eds.), Fractals in Soil Science. Lewis Publishers, New York, pp. 113–152.

5. BPS 2021. Produksi Padi tahun 2021. diunduh dari https://www.bps.go.id/pressrelease/2022/03/01/1909/produksi-padi-tahun-2021-turun-0-43-persen--angka-tetapdiakses 8 Juni 2023.

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