scholarly journals PcG Proteins MSI1 and BMI1 Function Upstream of miR156 to Regulate Aerial Tuber Formation in Potato

2019 ◽  
Vol 182 (1) ◽  
pp. 185-203 ◽  
Author(s):  
Amit Kumar ◽  
Kirtikumar Ramesh Kondhare ◽  
Pallavi Vijay Vetal ◽  
Anjan Kumar Banerjee
Keyword(s):  
Tuber Formation ◽  
Aerial Tuber

Polyamine titer and biosynthetic enzymes during tuber formation ofHelianthus tuberosus

1983 ◽  
Vol 2 (1-4) ◽  
pp. 177-184 ◽  
Author(s):  
N. Bagni ◽  
P. Barbieri ◽  
P. Torrigiani
Keyword(s):  
Tuber Formation ◽  
Biosynthetic Enzymes

scholarly journals Estimating Above-Ground Biomass of Potato Using Random Forest and Optimized Hyperspectral Indices

2021 ◽  
Vol 13 (12) ◽  
pp. 2339
Author(s):  
Haibo Yang ◽  
Fei Li ◽  
Wei Wang ◽  
Kang Yu
Keyword(s):  
Random Forest ◽  
Vegetation Index ◽  
Tuber Formation ◽  
Growth Stages ◽  
Spectral Indices ◽  
Above Ground Biomass ◽  
Full Spectrum ◽  
Ground Biomass ◽  
Tuber Bulking ◽  
Input Variables

Spectral indices rarely show consistency in estimating crop traits across growth stages; thus, it is critical to simultaneously evaluate a group of spectral variables and select the most informative spectral indices for retrieving crop traits. The objective of this study was to explore the optimal spectral predictors for above-ground biomass (AGB) by applying Random Forest (RF) on three types of spectral predictors: the full spectrum, published spectral indices (Pub-SIs), and optimized spectral indices (Opt-SIs). Canopy hyperspectral reflectance of potato plants, treated with seven nitrogen (N) rates, was obtained during the tuber formation and tuber bulking from 2015 to 2016. Twelve Pub-SIs were selected, and their spectral bands were optimized using band optimization algorithms. Results showed that the Opt-SIs were the best input variables of RF models. Compared to the best empirical model based on Opt-SIs, the Opt-SIs based RF model improved the prediction of AGB, with R2 increased by 6%, 10%, and 16% at the tuber formation, tuber bulking, and for across the two growth stages, respectively. The Opt-SIs can significantly reduce the number of input variables. The optimized Blue nitrogen index (Opt-BNI) and Modified red-edge normalized difference vegetation index (Opt-mND705) combined with an RF model showed the best performance in estimating potato AGB at the tuber formation stage (R2 = 0.88). In the tuber bulking stage, only using optimized Nitrogen planar domain index (Opt-NPDI) as the input variable of the RF model produced satisfactory accuracy in training and testing datasets, with the R2, RMSE, and RE being 0.92, 208.6 kg/ha, and 10.3%, respectively. The Opt-BNI and Double-peak nitrogen index (Opt-NDDA) coupling with an RF model explained 86% of the variations in potato AGB, with the lowest RMSE (262.9 kg/ha) and RE (14.8%) across two growth stages. This study shows that combining the Opt-SIs and RF can greatly enhance the prediction accuracy for crop AGB while significantly reduces collinearity and redundancies of spectral data.

scholarly journals Interacting Transcription Factors from the Three-Amino Acid Loop Extension Superclass Regulate Tuber Formation

2003 ◽  
Vol 132 (3) ◽  
pp. 1391-1404 ◽  
Author(s):  
Hao Chen ◽  
Faye M. Rosin ◽  
Salomé Prat ◽  
David J. Hannapel
Keyword(s):  
Transcription Factors ◽  
Amino Acid ◽  
Tuber Formation

scholarly journals The Improvement of Mini Tuber Production of Granola Potato Cultivar in Aeroponics System

2021 ◽  
Vol 13 (1) ◽  
pp. 77-83
Author(s):  
Sugiyono Sugiyono ◽  
Lucky Prayoga ◽  
Elly Proklamasiningsih ◽  
Khavid Faozi ◽  
Rendie Prasetyo
Keyword(s):  
Potato Cultivar ◽  
Potato Production ◽  
Tuber Formation ◽  
Planting Density ◽  
Food Crop ◽  
Important Food ◽  
High Quality ◽  
Plant Materials ◽  
Tuber Production ◽  
Surrounding Areas

Potato is an important food crop in both developed and developing countries and it is the fourth most important food crop after wheat, maize, and rice. Potato production in Indonesia has decreased in recent years, mainly due to the use of low quality tuber seed. The objective of this research was to determine the effect of plant materials, types of nutrients, and planting density on mini tuber formation, as well as to determine the best aeroponics conditions for mini tuber formation of Granola cultivar of potato. This research has been carried out experimentally using a Split-split Plot Design. The main plot was planting materials which consisted of plantlet and knol. The subplot was the type of nutrition media which consisted of Farran nutrition, Otazu nutrition, and AB-commercial mix. The sub-sub-plot was planting density which consisted of 50, 75, and 100 plants/m2. The research results showed that knol planted in aeroponics system on AB-commercial mix at a planting density of 75 plants/m2 resulted in the best mini-tuber production. In this study, for the first time three important factors for potato mini-tuber production have thoroughly been investigated in Indonesia. This finding will be used by Kledung Horticultural Seed Garden, Temanggung, for mass production of high-quality mini-tuber seed, which in turn will provide sufficient tuber seed for the farmer in its surrounding areas. By increasing the production of high-quality tuber seed, it is expected that it will contribute to the improvement of potato productivity and increase Indonesian potato production.

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