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Sarkar D.,Central Potato Research Institute CPRI | Sarkar D.,Central Research Institute for Jute and Allied Fibres CRIJAF
Plant Growth Regulation | Year: 2010

Photoperiodic induction of tuberization in potato (Solanum tuberosum L. Gp. Andigenum) under short days (SDs) is processed via miRNA (e. g. miR172)-mRNA (e. g. StBEL5) and gibberellin (GA) signaling pathways, with spatio-temporal activation of several transcription factors. There is good evidence that the photoreceptor phytochrome B (PHYB) inhibits tuberization under long days (LDs) by producing a graft-transmissible signal. Since it is mostly unknown how PHYB negatively regulates tuberization, the molecular identity of this PHYB-induced LD-inhibitory signal still continues to be elusive. A recent study reported PHYB-mediated photoperiodic regulation of GIGANTEA (GI), a flowering-control gene of Arabidopsis thaliana and rice, in the leaves of a potato plant. Although GI is long assumed to be involved in the photoperiodic control of potato tuberization as an upstream gene of both CONSTANS and FLOWERING LOCUS T, its exact role could not be elucidated. Thus, its preferential PHYB-dependent upregulation under LDs compared to SDs concomitant with an upregulation of the gene ENT-KAURENOIC ACID OXIDASE (KAO) that controls an early step in the gibberellin biosynthetic pathway provides an upstream molecular basis for tuberization inhibition in potato by LDs. The results are likely to revisit the roles of several signal molecules that are putatively implicated in the photoperiodic inhibition of tuberization. Given that GI constitutes an evolutionary conserved species-specific LD response pathway in the family Solanaceae, this review argues for an evolutionary basis of tuberization inhibition in potato inherent in its flowering response pathway. © 2010 Springer Science+Business Media B.V. Source


Watpade S.,Indian Agricultural Research Institute | Raigond B.,Central Potato Research Institute CPRI | Thakur P.D.,Dr. Y.S. Parmar University of Horticulture and Forestry | Handa A.,Dr. Y.S. Parmar University of Horticulture and Forestry | And 3 more authors.
Indian Journal of Virology | Year: 2012

Apple chlorotic leaf spot virus (ACLSV; family Betaflexiviridae genus Trichovirus) is one of the economically important latent virus infecting apple (Malus × domestica Borkh.). Reverse transcriptase polymerase chain reaction (RT-PCR) procedures were used to amplify coat protein gene of ACLSV. Among 5 primer sets used, two primer sets (1F1R and 1F2R) amplified fragments of expected size (432 bp). Products visible on agarose gel were produced using templates extracted from apple leaves. The results were further validated by sequencing fragment of 432 bp which was amplified from leaf of apple by using primer set 1F 1R. Comparisons with published sequences indicated that the isolate have very high 91 % identity values to the corresponding region of ACLSV isolate from apple. Selected primer pair (1F1R) was further used for screening 42 elite mother plants collected from apple growing areas of Himachal Pradesh, India, where in 17 were found free from ACLSV. Use of NAD5 gene in mitochondrial mRNA of the apple as an internal control, reduced the risk of false negative results that may occur with routine RT-PCR assays. © 2012 Indian Virological Society. Source


Biswas S.,Tata Consultancy Services Ltd. | Jagyasi B.,Tata Consultancy Services Ltd. | Singh B.P.,Central Potato Research Institute CPRI | Lal M.,Central Potato Research Institute Campus CPRIC
2014 IEEE Canada International Humanitarian Technology Conference, IHTC 2014 | Year: 2014

Plant disease management is an important factor in agriculture as it causes a significant yield loss in crops. Late Blight is the most devastating disease for Potato in most of the potato growing regions in the world. For optimum use of pesticide and to minimize the yield loss, the identification of disease severity is essential. The key contribution here is an algorithm to determine the severity of Potato Late Blight disease using image processing techniques and neural network. The proposed system takes images of a group of potato leaves with complex background as input which are captured under uncontrolled environment. In this proposed approach decorrelation stretching is used to enhance the color differences in the input images. Then Fuzzy C-mean clustering is applied to segment the disease affected area which also include background with same color characteristics. Finally we propose to use the neural network based approach to classify the disease affected regions from the similar color textured background. The proposed algorithm achieves an accuracy of 93% for 27 images captured in different light condition, from different distances and at different orientations along with complex background. © 2014 IEEE. Source


Paul V.,Central Potato Research Institute Campus | Paul V.,Indian Agricultural Research Institute | Ezekiel R.,Central Potato Research Institute CPRI | Pandey R.,Indian Agricultural Research Institute
Journal of Food Science and Technology | Year: 2016

World over, potatoes are being stored at 8–12 °C (85–90 % RH). This is the most common way of long-term (up to 6 to 9 months) storage of potatoes. The benefit of storing the potatoes within the temperature range of 8–12 °C is minimum accumulation of sugars in stored potato tubers. In sub-temperate, sub-tropical and tropical countries of the world, short-term (3 to 4 months) storage of potatoes is being done by non-refrigerated traditional/on-farm methods. These short- and long-term storage methods keep the stored potatoes suitable not only for table purpose but also for processing. However, once the natural dormancy period of potato is over, the prevailing temperatures in these storage methods favour sprouting and sprout growth. Therefore, use of some sprout suppressant to check the sprout growth becomes essential under these methods of potato storage. CIPC [Isopropyl N-(3-chlorophenyl) carbamate] is the most wide spread and commonly used sprout suppressant on potatoes. CIPC has been in use for more than 50 years and research carried out over such a long period use of CIPC has not only enhanced our understanding of its properties and chemistry but also about the production and toxicological status of its metabolites/degradation products. Today, various safety issues and concerns have surfaced primarily due to continuous and long-term use of CIPC. This review presents an appraisal on CIPC and explains the reasons for the long-time dependence on this chemical as a potato sprout suppressant. Issues like maximum residue limit and acceptable daily intake limit are being discussed for CIPC. This article brings an update on practical aspects of potato storage, residue levels of CIPC, efficacy of CIPC as sprout suppressant and health and environmental safety issues linked with CIPC and its metabolites. The aim of this article is to find possible solutions, way outs and future plans that can make the sprout suppression of potatoes safer and more risk free. © 2015, Association of Food Scientists & Technologists (India). Source


Ali S.,International Potato Center | Kadian M.S.,International Potato Center | Akhtar M.,Shibli National Post Graduate College | Arya S.,International Potato Center | And 3 more authors.
National Academy Science Letters | Year: 2015

A baseline survey of the Aphid, Myzus persicae (Sulzer) was carried out in four NE-Hill States during 2008–2011 for seed and commercial potato crop production to determine the abundance of aphids as virus vectors. Based on the findings herein, the aphid-free or low-aphid sites identified were used to extrapolate to regions to identify possible ideal locations for potato seed production at the altitudes between 1,550 and 2,700 m above mean sea level (amsl). The Shillong Peak, Laitkor Mawri, Mawkriah West in Meghalaya; Hilley Seed Potato Farm, Okhrey, Ribdi and Rawangla Seed Potato Farm in Sikkim; Upper Wanghoo and Warjung villages in Arunachal Pradesh; and Upper Ukule Kigwema and Lower Ukule Kigwema villages in Nagaland were identified suitable sites for quality potato seed production based on the aphid build-up trend during all the consecutive years of the study. © 2014, The National Academy of Sciences, India. Source

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