Signalling the Induction of Tuber Formation

Author(s):  
David J. Hannapel
Keyword(s):  
1983 ◽  
Vol 2 (1-4) ◽  
pp. 177-184 ◽  
Author(s):  
N. Bagni ◽  
P. Barbieri ◽  
P. Torrigiani

2021 ◽  
Vol 13 (12) ◽  
pp. 2339
Author(s):  
Haibo Yang ◽  
Fei Li ◽  
Wei Wang ◽  
Kang Yu

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.


2003 ◽  
Vol 132 (3) ◽  
pp. 1391-1404 ◽  
Author(s):  
Hao Chen ◽  
Faye M. Rosin ◽  
Salomé Prat ◽  
David J. Hannapel

Author(s):  
Sugiyono Sugiyono ◽  
Lucky Prayoga ◽  
Elly Proklamasiningsih ◽  
Khavid Faozi ◽  
Rendie Prasetyo

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.


Akta Agrosia ◽  
2019 ◽  
Vol 22 (1) ◽  
pp. 29-35
Author(s):  
Usman Kris Joko Suharjo ◽  
Hasanudin Hasanudin ◽  
Tunjung Pamekas ◽  
Hesti Pujiwati ◽  
Alyi Vanturini

A common problem related to the production of potatoes in Indonesia is the use of poor quality seed sources and declining seeds. Plant tissue culture is one of the best methods used for the provision of quality seeds. This study aims to establish the best combination of BAP concentration and the concentration of paclobutrazol in spurring the growth of cuttings and initiation of potato tubers in vitro.This research was conducted in November 2017 until June 2018 at Agronomy Laboratory of Biotechnology Division and Plant Culture Network of Agriculture Faculty of Bengkulu University. The  research  design  used  was  Completely  Randomized  Design  (CRD)  which  consist  of  18 combination of BAP treatment and Paclobutrazol was repeated 6 times. The concentration of BAP used was 0 mg / l, 5 mg / l, 10 mg / l and the concentration of Paclobutrazol 0 mg / l; 2.5 mg / l; 5 mg / l; 7.5 mg / l; 10 mg / l; 12.5 mg / l. The data of the research were analyzed by F test of 5% level and if there were different between treatments followed by Duncan's Multiple Range Test (DMRT) test of5% level. The results showed that the combination of BAP and  Paclobutrazol concentration had significant effect on all observed variables. Treatment of 5 mg / l BAP and 7.5 mg / l Paclobutrazol is the best medium in inducing potato micro tube as indicated by the fastest tuber formation time, highest percentage of productive crops, largest number of tubers per bottle, number of tubers per productive plant, tuber diameter the largest and highest wet weight of tuber per bottle. Keywords : in vitro, BAP, paclobutrazol, Potato


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