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Nur Qalbi Zaesar Muharram
Universitas Hasanuddin

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Tolerance of Some Rice Varieties to Drough Based on Drone-Vegetation Index Muh. Farid BDR*; Haris Syaputra Renhard; Nur Qalbi Zaesar Muharram; M. Mukminati; Muh. Fuad Anshori; Nirwansyah Amier; Andi Isti Sakinah
Agrotech Journal Vol 8, No 1 (2023): Agrotech Journal
Publisher : Universitas Sembilanbelas November Kolaka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31327/atj.v8i1.1991

Abstract

The utilization of phenotype technology in breeding is directed to see and select plants based on the appearance of the targeted phenotype. One is modern technology based on geographic information systems and remote sensing. The unmanned aerial drone (UAV) uses computing and machine learning in image processing and information extraction. This research focuses on developing tolerance screening of several varieties to drought based on the drone-vegetation index. This study used nine rice varieties in the rice fields of Kab. Bone-SulSel in the dry season. This research aims to identify the best selection character as a measure of tolerance of rice varieties to drought based on image and morphophysiology, which will be used to develop image-based phenotype-based selection methods. This research was conducted with Randomized Block Design (RAK) consisting of 3 replications. The morpho-physiological parameters of several rice varieties showed a significant effect, including the Inpago 15 variety, which gave the best results on NDVI characters and was followed by other characters. The vegetation index, or the greenness of the vegetation value obtained from digital signal processing of several channels of satellite sensor data, can provide information that a plant has good vegetation. The varieties that gave the best treatment were the Inpago 15 and Jeliteng varieties. The results of the correlation analysis showed that the parameter with a significant positive correlation with productivity was the weight parameter of 1000 grain (r=0.35). 
Evaluation of Seedling Tray Selection for the Screening of Saline-Tolerant Rice Muhammad Fuad Anshori*; Nur Qalbi Zaesar Muharram; Indrayani Muslim; A, Chamsitasari Zulfikarahmi A. Jamil; Muh. Fikri Al Qautzar
Agrotech Journal Vol 8, No 1 (2023): Agrotech Journal
Publisher : Universitas Sembilanbelas November Kolaka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31327/atj.v8i1.2022

Abstract

This study aimed to identify the effectiveness of seedling trays in screening rice for salinity tolerance. The study was conducted at the greenhouse, Faculty of Agriculture, Hasanuddin University, from August 2022 to October 2022. The genotypes used consisted of 4 dihaploid lines (F37, F42, F46, and F47), which were tolerant to salinities in nutrient culture screening. The Duncan Multiple Range Test (DMRT) with STAR 2.0.1 software and regression analysis with Microsoft Excel were used to analyze the interaction between genotype and environment. The results showed that the characters of shoot length (SL) and shoot fresh weight (SFW) were significantly influenced by all sources of diversity. In addition, the F37 and F42 genotype had a stable tolerance to saliency stress. The SFW character of F42 was more affected by SL than SL in the screening with soil media in trays. Based on the two evaluation characters (SL and SFW), fixed crown height is recommended as a selection criterion with SFW for the screening of saline-tolerant rice.