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All Journal Agrotech Journal
Muh. Fuad Anshori
Universitas Hasanuddin
Agriculture, Biological Sciences & Forestry

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Evaluation of Double Cross on Growth and Production of Cayenne Pepper (Capsicum frutescens L.) Muh Farid BDR; Yunus Musa; Azmi Nur Karimah Amas; Muh. Fuad Anshori; Nirwansyah Amier
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.v8i1.1990

Abstract

Cayenne pepper is one of the horticultural commodities with high economic value in Indonesia. In addition, this plant also never runs out of enthusiast because almost everyone needs it. Therefore, the fulfillment of this demand must be supported by the availability of sufficient cayenne pepper in Indonesia. This research aims to obtain better diversity in the results of double cross and three way cross than their parents, to obtain characters with good genetic parameters in predicting the results of double cross and three way cross crosses, and to obtain hybrid combinations of cayenne pepper resulting from double cross and three way cross which has purple fruit properties. The results of the evaluation of crosses showed that all cross-evaluation characters had a high heritability predictive value and were followed by high genetic diversity in the characters of plant height, dichotomous height, plant habitus, flowering age, harvesting age, fruit weight, fruit length, fruit diameter, fruit stalks length, and yield.
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). 
Co-Authors Andi Isti Sakinah Azmi Nur Karimah Amas Haris Syaputra Renhard M. Mukminati Muh Farid BDR Muh. Farid BDR* Nirwansyah Amier Nur Qalbi Zaesar Muharram YUNUS MUSA