scholarly journals Variabilidad morfológica en el tomate pajarito (Lycopersicon esculentum var.cerosiforme) precursor del tomate cultivado

2001 ◽  
Vol 3 (2) ◽  
pp. 39 ◽  
Author(s):  
Clara Inés Medina C. ◽  
Mario Lobo A.

<p>Se realizó la caracterización y evaluación morfológica de una colección del tomate tipo “cereza”, conocido comúnmente como "pajarito", o "vagabundo" (Lycopersicon esculentum var. cerasiforme), comparándola con el cultivar obsoleto de frutos de mesa de tamaño grande 'Marglobe' (Lycopersicon esculentum var. esculentum ). El estudio se llevó a cabo en el Centro de Investigación “La Selva”, de la Corporación Colombiana de Investigación Agropecuaria, Corpoica, ubicado a 2.120 msnm, con temperatura promedio de 17<sup>0</sup>C, en un área perteneciente a la formación ecológica de bosque húmedo montano bajo. Para el efecto, se registraron 39 variables de índole cualitativa y 11 de naturaleza cuantitativa. Se encontró polimorfismo en 34 de los 39 atributos cualitativos y en los 11de naturaleza cuantitativa. Los análisis de conglomerados cualitativos, cuantitativos y cualitativo-cuantitativo, no indicaron un patrón claro de distribución entre accesiones del Centro de Origen (Perú-Ecuador) y del Centro de Domesticación (México-Mesoamérica), con intercalamiento en los fenogramas de estos materiales y materiales de otras zonas del mundo. Los resultados señalaron amplia variabilidad cualitativa y cuantitativa y diversos niveles de arreglo de las variables a nivel de accesiones individuales, lo cual señala un amplio potencial de utilización per se de la colección y para programas de mejoramiento. EI fenograma cualitativo-cuantitativo, transformando la última categoría de variables a escalas aditivas binarias, con un máximo de cuatro intervalos por característica, permitió discriminar entre la variedad botánica cerasiforme y el cultivar de tomates grandes 'Marglobe', lo cual no fue tan evidente a nivel del fenograma cualitativo, construido en escala binaria, y el cuantitativo con base en distancias derivadas de variables estandarizadas.</p><p><strong><br /></strong></p><p><strong>Morphologic variability in the tomato pajarito (Lycopersicon esculentum var. cerasiforme), a precursor of cultivated tomato.</strong></p><p>To study the phenotypic variability of a “cherry” collection of tomato of the type in comparison with the vintage tomato cultivar 'Marglobe', an experiment was carried out at “La Selva”, Research Centre of Corpoica, located in Rionegro, Antioquia, at 2,120 masl, with an average temperature of 17<sup>0</sup>C and a relative humidity of 78%. Fifty descriptors were evaluated in this study, 39 were qualitative and l1 quantitative. Polymorphism was found in 34 out of 39 qualitative characteristics, and in the 11 quantitative variables. The qualitative, quantitative and qualitative-quantitative clusters analysis obtained with the polymorphic variables did not show a clear pattern of distribution between materials from the Origin Centre (Perú-Ecuador) and from the Domestication Centre (México-Central America). These results show ample qualitative and quantitative variability in the cherry type tomato collection, as well as ample distribution and arrangement of characters within individual accesions, which indicates the great potential to use this collection as well as in breeding programs. The qualitative-quantitative phenogram obtained by transforming the last type of variables to additive binary scales, with a maximum of four values by characteristic, exhibited discriminatory power between the cherry type tomato and the vintage cultivar 'Marglobe', which was not so clear for the qualitative phenogram based on binary values for the variables and for the quantitative phenogram based on distances obtained from standardized variables.</p>

2020 ◽  
Vol 47 (3) ◽  
pp. 268-274
Author(s):  
Yani Kusumawati ◽  
Eries Dyah Mustikarini ◽  
Dan Gigih Ibnu Prayoga Prayoga

Germplasm diversity of local taro in Bangka as genetic resources for plant breeding purposes is still unknown. This research aimed to provide information on Bangka Taro’s variability and relationship for plant breeding programs. This research was conducted in December 2017 until February 2018. Characterization of the germplasm was performed on qualitative and quantitative parameters. Analysis of morphological relationships used the UPGMA method. Exploration obtained 27 germplasm of Bangka local taro. The results of the morphological relationship analysis showed nine clusters at a 0.57 coefficient (57%). Cluster one consisted of Tungkuk, Sayur, Hitam/Nyatoh, Rakit Hijau, Lilin, and Cantik Manis accessions. Cluster two consisted of Rakit Hitam accession. Cluster three consisted of Ganjung, Trans 2, Sungai Tebuk and Trans 1 accessions. Cluster four consisted of Sayang Anak, Pak Ugo and Trans 3 accessions. Cluster five consisted of Angit and Kelat Mentak Kelapa accessions. Cluster six consisted of Pelawan Toboali, Wangi/Colet and Simbang accessions. Cluster seven consisted of Alar accession. Cluster eight consisted of Pelawan Rukem, Kelat Mentak Rukem, Selaseh, Pinangbo and Telok Simbang accessions.Cluster nine consisted of Butir/Pikul and Butir Mentaram accessions. Bangka local taro had wide phenotypic variability in the observed morphological characters. Keywords: accesion, fenotipic, cluster, relationship, variability


1983 ◽  
Vol 14 (3) ◽  
pp. 155-166 ◽  
Author(s):  
Wm. Hogland ◽  
R. Berndtsson

The paper deals with the qualitative and quantitative characteristics of urban discharge. Ratios for urban discharge and recipient flow during different time intervals are presented and discussed. The quality of the urban discharge is illustrated through pollutographs.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Nicole Pretini ◽  
Leonardo S. Vanzetti ◽  
Ignacio I. Terrile ◽  
Guillermo Donaire ◽  
Fernanda G. González

Abstract Background In breeding programs, the selection of cultivars with the highest yield potential consisted in the selection of the yield per se, which resulted in cultivars with higher grains per spike (GN) and occasionally increased grain weight (GW) (main numerical components of the yield). In this study, quantitative trait loci (QTL) for GW, GN and spike fertility traits related to GN determination were mapped using two doubled haploid (DH) populations (Baguette Premium 11 × BioINTA 2002 and Baguette 19 × BioINTA 2002). Results In total 305 QTL were identified for 14 traits, out of which 12 QTL were identified in more than three environments and explained more than 10% of the phenotypic variation in at least one environment. Eight hotspot regions were detected on chromosomes 1A, 2B, 3A, 5A, 5B, 7A and 7B in which at least two major and stable QTL sheared confidence intervals. QTL on two of these regions (R5A.1 and R5A.2) have previously been described, but the other six regions are novel. Conclusions Based on the pleiotropic analysis within a robust physiological model we conclude that two hotspot genomic regions (R5A.1 and R5A.2) together with the QGW.perg-6B are of high relevance to be used in marker assisted selection in order to improve the spike yield potential. All the QTL identified for the spike related traits are the first step to search for their candidate genes, which will allow their better manipulation in the future.


2021 ◽  
Vol 9 (08) ◽  
pp. 334-341
Author(s):  
Shailesh Kapadia ◽  
◽  
Kirti Patel ◽  
P.K. Patel ◽  
Mempal D. ◽  
...  

The heterosis and combining ability studies were conducted by utilizing modified Line X Tester mating design involving 6 Lines and 9 testers of Okra [Abelmoschus esculentus (L.) Moench]. The breeding material involving fifty four F1 hybrids along with 15 parents with one commercial check were evaluated during Kharif 2020 in a Randomized Block Design (R.B.D.) with three replications at Research Centre of Goldking Biogene Private Limited with an aim to estimate the magnitude of heterosis and to identify the good parents and good hybrid combinations for pod yield and other quantitative traits. Among the parents GKOF-1, GKOF-5 and GOM-7 were found to be good general combiners for pod yield per plot. Among the lines GKOF-3, GKOF-4 and GKOF-6 and testers GKOM-4, GKOM-5, GKOM-7 and GKOM-9 were found to be involved in exhibiting significant sca effects for almost all characters. Among the crosses GKOF-2 X GKOM-5, GKOF-1 X GKOM-8 and GKOF-6 X GKOM-7 exhibited high per se performance for pod yield per plot. Further the cross GKOF-1 X GKOM-7, GKOF-4 X GKOM-9 and GKOF-6 X GKOM-4 revealed highest positively significant sca effects for pod yield per plot.


Agriculture ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 914
Author(s):  
Tatyana A. Larkina ◽  
Olga Y. Barkova ◽  
Grigoriy K. Peglivanyan ◽  
Olga V. Mitrofanova ◽  
Natalia V. Dementieva ◽  
...  

To adjust breeding programs for local, commercial, and fancy breeds, and to implement molecular (marker-assisted) breeding, a proper comprehension of phenotypic and genotypic variation is a sine qua non for breeding progress in animal production. Here, we investigated an evolutionary subdivision of domestic chickens based on their phenotypic and genotypic variability using a wide sample of 49 different breeds/populations. These represent a significant proportion of the global chicken gene pool and all major purposes of breed use (according to their traditional classification model), with many of them being characterized by a synthetic genetic structure and notable admixture. We assessed their phenotypic variability in terms of body weight, body measurements, and egg production. From this, we proposed a phenotypic clustering model (PCM) including six evolutionary lineages of breed formation: egg-type, meat-type, dual purpose (egg-meat and meat-egg), game, fancy, and Bantam. Estimation of genotypic variability was carried out using the analysis of five SNPs, i.e., at the level of genomic variation at the NCAPG-LCORL locus. Based on these data, two generally similar genotypic clustering models (GCM1 and GCM2) were inferred that also had several overlaps with PCM. Further research for SNPs associated with economically important traits can be instrumental in marker-assisted breeding programs.


2018 ◽  
Vol 36 (1) ◽  
pp. 112-117 ◽  
Author(s):  
Gabriel M Maciel ◽  
Rafael R Finzi ◽  
Alexandre William C Marra ◽  
Fábio J Carvalho ◽  
Ana Paula O Nogueira

ABSTRACT Evaluation of pre-commercial hybrids in a germplasm bank is essential for determining its commercial potential or its utility as a potential genitor in a breeding program. The objective of this study was to determine genetic divergence and per se behavior of 47 pre-commercial hybrids from okra germplasm bank of the Universidade Federal de Uberlândia. Precocity index (%), number of fruits (fruits per plant), average fruit mass (g) and productivity (g per plant) were evaluated. Analysis of genetic divergence was performed by multivariate analysis using Mahalanobis distance with different clustering methods (UPGMA and canonical analysis). The performance of hybrids was compared by Scott-Knott (p= 0.05). A significant genetic variability among okra hybrids was observed. UPGMA and canonical analysis grouped the hybrids similarly, being satisfactory to represent genetic divergence. Ten hybrids presented higher performance than the commercial hybrids. Among them, UFU-QB16 stood out as the most promising hybrid for being used as a potential parent in breeding programs after auto pollination.


2012 ◽  
Vol 39 (12) ◽  
pp. 999
Author(s):  
Ando M. Radanielson ◽  
Jeremie Lecoeur ◽  
Angelique Christophe ◽  
Lydie Guilioni

In conditions of water deficit, plant yield depends mostly on the ability of the plant to explore soil profile and its water uptake capacity per unit volume of soil. In this study, the value of soil water extraction properties for use in sunflower breeding was evaluated. Five experiments were carried out in pots, in greenhouses, from 2005 to 2009, in Montpellier, France. Elite sunflower cultivars and experimental hybrids obtained from a factorial cross between five female and five male inbred lines were grown. The soil water extraction performance of the plants was characterised by the soil water content at minimal stomatal conductance (SWCgs = 0) and the index of water extraction (IEgen), which was calculated as the relative value of SWCgs = 0 to the performance of the cultivar NKMelody. Heritability (H2) was estimated for the experimental hybrids. Phenotypic variability of the SWCgs = 0 was observed with a significant effect of the environment and the genotype. The latest released cultivars were observed as the best performing one in water extraction with an IEgen under 0.85. This trait was found to be suitable for use in comparisons of the soil water extraction performances of different genotypes. The high H2 value for SWCgs = 0 (0.77 and 0.81) and the significant correlation (r2 = 0.70, P < 0.001) between the values obtained for the experimental hybrids and the mean values of the general combining ability (GCA) for the parental lines showed that this trait is heritable and could be used in plant breeding programs. Phenotyping methods and the usefulness of this trait in crop modelling are discussed.


2014 ◽  
Vol 45 (3) ◽  
pp. 119
Author(s):  
Ester Foppa Pedretti ◽  
Daniele Duca ◽  
Giuseppe Toscano ◽  
Giovanni Riva ◽  
Andrea Pizzi ◽  
...  

The aim of this work is to evaluate the sustainability, in terms of greenhouse gases emission saving, of a new potential bio-ethanol production chain in comparison with the most common ones. The innovation consists of producing bio-ethanol from different types of no-food grapes, while usually bio-ethanol is obtained from matrices taken away from crop for food destination: sugar cane, corn, wheat, sugar beet. In the past, breeding programs were conducted with the aim of improving grapevine characteristics, a large number of hybrid vine varieties were produced and are nowadays present in the Viticulture Research Centre (CRA-VIT) Germplasm Collection. Some of them are potentially interesting for bio-energy production because of their high production of sugar, good resistance to diseases, and ability to grow in marginal lands. Life cycle assessment (LCA) of grape ethanol energy chain was performed following two different methods: i) using the spreadsheet <em>BioGrace</em>, developed within the <em>Intelligent Energy Europe</em> program to support and to ease the Renewable Energy Directive 2009/28/EC implementation; ii) using a dedicated LCA software. Emissions were expressed in CO<sub>2</sub> equivalent (CO<sub>2</sub>eq). These two tools gave very similar results. The overall emissions impact of ethanol production from grapes on average is about 33 g CO<sub>2</sub>eq MJ<sup>–1</sup> of ethanol if prunings are used for steam production and 53 g CO<sub>2</sub>eq MJ<sup>–1</sup> of ethanol if methane is used. The comparison with other bio-energy chains points out that the production of ethanol using grapes represents an intermediate situation in terms of general emissions among the different production chains. The results showed that the sustainability limits provided by the normative are respected to this day. On the contrary, from 2017 this production will be sustainable only if the transformation processes will be performed using renewable sources of energy.


Author(s):  
Zofija Jankauskienė ◽  
Elvyra Gruzdevienė

In the resent years evaluation and conservation of genetic recourses becomes of great importance. Some of the genotypes could be lost when un-sufficient attention is given to them. Some old (created before WWII) Latvian flax accessions have been investigated at the collection nursery at the Upytė Experimental Station of the Lithuanian Research Centre for Agriculture and Forestry in 2007-2010. Phenological phases, plant height, flower colour, stem, seed and long fibre yield, fibre content and quality (flexibility, strength, quality number), duration of vegetation period, resistance to lodging, etc., have been investigated. The most valuable genotypes have been suggested to be used in further breeding programs.


Author(s):  
D Yücel

Chickpea (Cicer arietinum L.) is one of the important legumes widely grown for dietary proteins in semi-arid Mediterranean climatic conditions. The main goal of any breeding programs in the world is to produce high yield and better quality genotypes for farmers and commercial growers to be released as cultivars. Present research has been conducted to select more desirable characteristics that may contribute to the improvement of drought tolerant chickpea. Thirty-two chickpea genotypes along with two control varieties were evaluated in winter and late sowing conditions in 2015 and 2016, in randomized complete block design with three replications. Phenotypic coefficients of variation were found to be higher than genotypic coefficients of variation for all the traits. The highest heritability along with high genetic advance was found for hundred seed weight followed by podding day, plant height, flowering day and first pod height in normal and stress conditions. These traits can be improved by giving special attention during selection.


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