VARIATION OF AGRONOMIC TRAITS IN A WORLD COLLECTION OF VETCH (VICIA SATIVA L.)

Similar documents
Genetic Studies of Association and Path Coefficient Analysis of Yield and its Component Traits in Pigeon Pea ( Cajanus Cajan L. Millsp.

Relative efficiency of different breeding methods for improvement of yield and yield components in chickpea (Cicer arietinum L.)

Genetic Divergence Studies in Pigeonpea [Cajanus cajan (L.) Millsp.]

RESEARCH REGARDING COMPARATIVE STUDY BETWEEN TRITICUM AESTIVUM AND TRITICUM DURUM IN OLTENIA AREA

Orchardgrass Breeding and Genetics. Joseph G. Robins B. Shaun Bushman Kevin B. Jensen. Forage and Range Research Laboratory

Banat s Journal of Biotechnology

Effectiveness of breeding methods for production of superior genotypes and maintenance of genetic variance in Faba Bean (Vicia faba, L.


Correlation And Path Analyses of Yield and Its Component Traits in Pigeonpea [Cajanus cajan (L.) Millsp.]

Yield and agronomic characteristics of 30 pigeon pea genotypes at otobi in Southern Guinea Savanna of nigeria

Yield and yield attributes of hybrid pigeonpea (ICPH 2671) grown for seed purpose as influenced by plant density and irrigation

Soybean breeding in Africa

Stability analysis for various quantitative traits in soybean [Glycine max (L.) Merrill]

Research Note Correlation and path coefficient analysis of yield and yield contributing traits in rice hybrids and their parental lines

Heterosis Studies in Cow pea (Vigna unguiculata (L.) Walp.)

PROGRESS REPORT TO THE NEBRASKA DRY BEAN COMMISSION. Core Project Title

Path Coefficient and Correlation response for Yield Attributes in Pigeon Pea (Cajanas cajan L.)

EVALUATION OF COMMON BEAN GERMPLASM COLLECTED FROM THE NEGLECTED POCKETS OF NORTHWEST PAKISTAN AT KALAM (SWAT)

The Stay-Green Trait in Sorghum

GENETIC VARIABILITY AND ASSOCIATION STUDIES FOR YIELD ATTRIBUTES IN MUNGBEAN (VIGNA RADIATA L. WILCZEK)

Key words: local landraces, dry beans, organic growing conditions, yield characteristics, cooking time

Comparative assessment of wheat landraces from AWCC, ICARDA and VIR germplasm collections based on the analysis of SSR markers

Studies on Genetic Variability, Association of Characters and Path Analysis in French Bean (Phaseolus vulgaris L.)

Estimation of Genetic Variability, Correlation and Path Analysis in Groundnut (Arachis hypogaea L.) Germplasm

A. K. M. S. Islam and P. K. Rai 1. Hybrid Rice Research Division BRAC Agricultural Research and Development Centre Gazipur 1701, Bangladesh.

Genetic divergence and stability analysis in Pigeonpea (Cajanus cajan L.)

Principal Component Analysis for Evaluation of Guinea grass (Panicum maximum Jacq.) Germplasm Accessions P Ramakrishnan 1, C Babu 2, K Iyanar 3

Crop production - Coarse grains

Growth and yield of faba bean (Vicia faba.l) under rain fed and irrigated conditions in Jordan.

International Journal of Science, Environment and Technology, Vol. 5, No 4, 2016,

Genetic Variability and Inter Relationship between Yield and Yield Components in Some Rice Genotypes

REFORMA Resilient, water- and energy-efficient forage and feed crops for Mediterranean agricultural systems

CLUSTER ANALYSIS: A COMPARISON OF FOUR METHODS IN RICE BEAN [VIGNA UMBELLATE (THUNB.)OHWI & OHASHI]

STABILITY PARAMETERS IN LENTIL

Final Report Developing the Next Generation of Faster Drier Corn Products for Northern MN Project SP Project Title

India, Agriculture and ARD

REPORT: Genetically engineered Soya in Ukraine, out of control

ICARDA as a CGIAR Center

(LENS CULINARIS MEDIK) GENOTYPES ACROSS CROPPING SYSTEMS

Genetic diversity and variability studies of advanced breeding lines of Pigeonpea (Cajanus cajana. L)

NAAS Rating Impact factor

HealthyMinorCereals. 1. Publishable summary

4.6 Field Screening for Drought Tolerance in Groundnut

Grand Challenges. C r o p S c i e n c e S o c i e t y o f A m e r i c a. Plant Sciences for a Better World

Correlation and Path Analysis Studies in Barley (Hordeum vulgare L.) Genotypes under Normal and Limited Moisture Conditions

Heterosis and Inbreeding Depression for Grain Yield and Yield Contributing Characters in Quality Protein Maize.

LINE X TESTER ANALYSIS FOR GRAIN YIELD AND YIELD RELATED TRAITS IN MAIZE VARIETY SARHAD-WHITE

Assessment of genetic diversity in cowpea (Vigna unguiculata)

Multi-location advanced yield test of early and medium soybean breeding lines

7a. Oats Variety Trials

DYNAMIC ECONOMIC MODEL OF ARABLE CROP ROTATION

Genotype x Environment (GxE) interaction studies in hybrids and elite cultivars of pigeonpea

EFFECT OF THE COMPLEXITY OF SUNFLOWER GROWING REGIONS ON THE GENETIC PROGRESS ACHIEVED BY BREEDING PROGRAMS

Correlation and Path analysis in Cowpea [ (Vigna unguiculata (L.) Walp.) ]

GENETIC VARIABILITY AND DIVERGENCE STUDIES IN OATS (AVENA SATIVA L.) FOR GREEN FODDER AND GRAIN YIELD

ASSESSMENT OF GENETIC DIVERSITY IN GERMPLASM OF LINSEED ( LINUM USITATISSIMUM L.)

CAP CONTEXT INDICATORS

Online Appendix: How should we measure environmental policy stringency?

Selection strategy for yield improvement in safflower involving spiny and nonspiny types

Performance of Parents and Hybrids of Pigeonpea (Cajanus cajan (L.) Millsp.) in terms of Yield and Yield Contributing Characters

Boron tolerance of lentil - highlights of a research program

PHENOLOGY AND GRAIN YIELD OF FIELD PEA IN THE NORTHERN CROPPING BELT

Evaluation of sorghum/faba bean intercropping for intensifying existing production systems

Genetic and environmental variation of grain yield of oat varieties

Volume -1, Issue-4 (October-December), 2013 Available online at popularkheti.info

GENETIC RESOURCES IN A COMMERCIAL BREEDING, A PLANT BREEDING COMPANY S VIEW

Studies on Genetic Variability, Heritability and Genetic Advance in Segregating Generations of Faba Bean (Vicia Faba L.)

LCS Wheat Varieties for Double Crop

UC Davis Bean Breeding Program

Phenotyping transpiration efficiency: Linking trait dissection to genetics

Sensitivity of two garden pea genotypes to physical and chemical mutagens

Hybridisation of poplar holds much potential if conservation of genetic resources is integrated in improvement work

Comment on Lobell et al "Climate Trends and Global Crop Production Since 1980".

Funding breeding research in Canadian Pulses Carl Potts Executive Director April 5, /8/2013 1

Evaluation of barley germplasm

Identification of Best Combiners for Soybean Improvement at Chhattisgarh Plains

Traits and technologies to design crop breeding systems for climate change

PHENOTYPIC DIVERSITY AND TRAIT ASSOCIATION IN BREAD WHEAT (TRITICUM AESTIVUM L.) LANDRACES FROM BALUCHISTAN, PAKISTAN

QUANTITATIVE INHERITANCE OF SOME WHEAT AGRONOMIC TRAITS

TABLE OF CONTENTS. Abbreviations List of figures List of Tables Acknowledgements Abstract..1-2

I.J.S.N., VOL.8 (4) 2017: ISSN

COR RE LA TION AND PATH CO EF FI CIENT ANAL Y SIS OF ECO NOM I CALLY IM POR TANT TRAITS IN LEN TIL (Lens culinaris Medik.

Legumes are an important component in the diets AJH

Residue for Cover Crops in RUSLE2

Tier 1 estimation of GHG emissions from organic soils in Cropland Management (CM) and Grazing Land Management (GM) at EU level

Soybean Production (Research Experience in southern Alberta)

Genetic Divergence Studies in Maize (Zea mays L.)

Study of Genetic Diversity in Sunflower (Helianthus annuus L.)

Screening and genetic analysis for rootknot nematode resistance in oats

Sustainable production of high-quality cherries for the European market FA1104 Start date: 16/04/2012 End date: 15/04/2016 Year: 2 José Quero Garcia

Decision 16/CMP.1 Land use, land-use change and forestry

Achieving a forage revolution through improved varieties and seed systems

A major gene for leaf cadmium. (Zea mays L.)

Numerical Analysis of Variation Among Nigerian Accessions of Egusi Melon (Citrullus lanatus (Thunb.) Matsum & Nakai)

Public Private Partnership for prebreeding in perennial ryegrass. EUCARPIA Genetic Resources Section Meeting 2013 Alnarp, Sweden June 2013

Soybeans resilience to heat stress during flowering and pod filling Krishna Jagadish SV, Raju Bheemanahalli & William Schapaugh

GENOTYPE - ENVIRONMENT INTERACTION FOR GRAIN YIELD IN CHICKPEA (CICER ARIETINUM L.)

8 September 1975 GENERAL AGREEMENT ON RESTRICTED L/4221 TARIFFS AND TRADE. Paragraph 4 of the Protocol for the Accession of Switzerland (1974)

Environmental Attitudes

Association Analysis of F 2 Generation in Rice (Oryza sativa. L.)

Transcription:

ID 23-13 VARIATION OF AGRONOMIC TRAITS IN A WORLD COLLECTION OF VETCH (VICIA SATIVA L.) G. Pacucci and C. Troccoli Department of Plant Production Sciences, Bari University, Via Amendola 165/A, 70125 Bari, Italy, pacuccig@agr.uniba.it Abstract More than 850 accessions of vetch (Vicia sativa L.) representing 16 countries were obtained from the Italian Germplasm Institute and grown in a Southern Italy environment. The five following quantitative characters were analysed: days to harvest, plant dry weight, number of pods per plant, seed yield per plant, and seed yield per pod. The frequencies of various phenotypes were examined for total world collection and for each country in which there was a sufficient number of accessions. Wide phenotypic variability was observed for all characters, and usually within each country. The Shannon Weaver diversity index (H') was used to examine overall phenotypic diversity on a world and geographic basis. The total world collection showed a high diversity (H'= 0.872) and also the collections of substantial size (Turkey, FAO and Italy) showed a highly significant diversity index (H'= 0.826, 0.762, 0.801). A strong positive correlation was found between biomass and seed yield for total accessions (r = 0,794**) and for the accessions of some countries; these results indicate that simultaneous selection for both traits should be successful. Keywords: Vetch, germplasm collection, accession, variability, diversity index Introduction Common vetch (Vicia sativa L.) is an important annual forage legume that is widely grown in many countries for hay and seed production. Gains in productivity were obtained in

the past trough selection in local land races. New and more uniform types have been obtained and widespread replacing the old land races, which became threatened of extinction. Given the danger of genetic erosion, scientists started to collect the evolved variability in world collections and to preserve it for future generations, because the genetic variation is of interest to germplasm conservationists and plant breeders (Abdalla, 1976). For these reasons, world collections of different crops have been evaluated by many scientists, in different countries, searching for useful gene combinations (Jain et al., 1975; Porceddu, 1976; Alba et all., 1978; Polignano and Olita, 1981; Polignano and Uggenti, 1984; Aher et al., 1998; Kusmenoglu and Muehlbaner, 1998; Kulakow, 1999). The confidence in this material, as a source of breeding stocks, points to the need of expanding our knowledge of it. We have very little information about the existing variability in the collected material of Vicia sativa and its geographical distribution. This study has been undertaken to ascertain the relationships among five agronomic traits, their frequencies and diversities in various countries and in a world collection of vetch. Materials and Methods The analysed material consists of 864 vetch (Vicia sativa L.) entries, maintained at the Germplasm Institute, Bari (Italy) and kindly supplied by P. Perrino. 154 entries are classified as FAO collection because they were given to the Germplasm Institute by the FAO at the time of its establishment. Sources of material are listed in Table 1, together with the number of accessions from each country. The entire collection was grown in Bari, Italy (41 12' N, 16 87 E, 12 m in elevation), with November planting in 1977, in plots consisting of four 10-m rows, spaced 60 cm apart

with 35-40 plants per row. Twenty plants from the two central rows were used for data collection. Data were collected for days to harvest (calculated as the number of days from May 1 st to physiological maturity, when 90% of the pods in a plot were golden brown), plant dry weight, number of pods per plant, seed yield per plant (g) and seed yield per pod (mg). The nature of inheritance of these characters is not well known in vetch, so that they were considered by phenotypic rather than genotypic categories. The correlation coefficients and analysis of variance with the countries considered as a source of variation were computed on data in addition to the range of variability and to the frequency of character scores in all the material, as well as in the material from each country. Frequency data were then analysed by the Shannon Weaver diversity index (H'), as suggested by Jain et al. (1975). This statistics is widely used in ecological literature for evaluating species diversity in communities. Because of its additivity properties, this measure is useful in hierarchical analyses of diversity in a large variety of data such as those encountered in the studies on germplasm resources (Poole, 1974). Results and Discussion Table 1 summarizes the phenotypic means for individual characters and countries, together with the range of variability and the diversity index (H'). The differences among the countries were highly significant for all the studied traits. The days to harvest is a very important trait to be considered in the vetch genotypes that are to be grown under the Mediterranean environmental conditions. Actually, in order to escape the drought period that normally starts at mid-june, early types must be selected. In the material considered, the total world collection showed a wide range of variability for this trait (33 days starting from the end of May). Also Turkey, Italy, FAO collection and Portugal showed a wide range of variability and this could be explained with the large variability of

environmental conditions in the places where accessions were collected. As an average, in these countries the mean day of harvest is around mid-june, while in the countries of central and northern Europe the harvesting time occurs in the last week of June, with a range of variability of 15 days. The plant dry weight varied, among the countries, from 13.7 g (Australia) to 42.1 g (Bulgaria and Hungary). The world total collection showed a mean plant dry weight of 24.5 g with a very large range of variability (from 4 to 60 g). Turkey and Italy showed values not significantly different from the world total ones: 24.5 and 23.5 g, and showed also a variability similar to that of world total (4-60 g and 5-52 g, respectively). In the other countries, the variability was smaller, with a mean plant dry weight lower or similar to that of world total, with the exception of Bulgaria and Hungary in which the mean plant dry weight was higher. The plant seed yield showed a high variability among the countries, ranging from 1.9 g (Australia) to 9.3 g (Bulgaria) and 8.0 g (Hungary). These results show that this trait is closely related to the plant dry weight. Turkey (4.4 g) and Italy (4.1 g) showed the same plant seed yield as the world collection (4.6 g), with Turkey that has the same large range of variability as the world total (from 0.4 to 19.3 g). In the other countries the variability was smaller. The number of pods per plant varied from 10.2 to 31.4. In Bulgaria (31.4) and Hungary (31.2) the highest values were observed. These are the countries in which the plant weight was also higher. The mean value of world total collection was 19.2, which is not significantly different from Turkey (21.1) and Russia (20.4). Turkey showed the greatest range of variability (from 9 to 98) that was similar to that of the world collection (from 4 to 98). In the accessions of the other countries, the mean values ranged from 10.2 to 17.3, with even lower variability values.

The highest seed yields per pod were observed, on average, in the accessions of Bulgaria (306 mg) and in the FAO collection (278 mg), while the lowest ones (99 mg) were observed in the countries with few entries. The largest range of variability for this trait was found in the Turkish entries (from 50 to 540 mg) and was similar to the world total one. The variability, or the entropy, in the accessions from different countries was studied by utilising the Shannon-Weaver diversity index. Estimates of H', individually and pooled over characters and countries, are reported in Table 1. The two highest values of H' are from Turkey (0.826) and Italy (0.801) and are not significantly different from each other (P>0.1). The lowest values of H' are from Russia (0.548), Germany (0.580), and Australia (0.587) and are different from those cited above (P>0.1). However, the number of available samples of those four countries was small. Turkey showed the highest H' values for days to harvest (0.878), plant dry weight (0.903), and plant seed yield (0.781), while Italy and FAO collections showed the highest values for the number of pods per plant (0.810) and seed yield per pod (0.874), respectively. Relationships between characters are shown in Table 2, where the values of simple phenotypic correlation coefficients are reported. The five agronomic traits considered showed significant associations (Table 2). Positive and highly significant phenotypic correlations were found among all the 864 accessions. The correlation between biomass and days to harvest was not always positive. In the accessions collected in Turkey and Italy, the correlation is indeed negative; this can be explained by the natural selection of early types in these environments to escape the drought period of the regions characterised by a Mediterranean climate. This correlation indicates that in these environments breeders must select early genotypes in order to achieve high biomass yield. Moreover, the strong positive correlation between biomass and seed yield indicates that simultaneous selection for both traits should be successful. Large plants, achieved by selection for large vegetative biomass,

may have greater photosynthetic area to produce large quantities of carbohydrates and more pods and seeds per plant. Unfortunately, this study was carried out in one place and one year only and this fact prevents considering the consequences of any genotype-environment interaction. It is in fact possible that some of the studied characters would show a high degree of variability under different environmental conditions. In conclusion, our results indicate that a wide phenotypic variability is present in the vetch collection and clear differences seem to exist among entries from different countries, and for all the analysed agronomic traits. The Shannon-Weaver diversity index shows significant differences among traits and countries. The phenotypic correlation among all the studied traits indicates that seed yield can also be improved by selecting for larger vegetative biomass. References Abdalla, M.M.P. (1976). Natural variability and selection in some local and exotic populations of field beans. V faba L. Z. Pflanzenzüchtg. 76: 334-343. Aher, R.P., Thombre B.B. and Dahat D.V. (1998). Genetic variability and character association in pigeonpea [Cajanus cajan (L) Millsp]. Legume Research, 21: 41-44. Jain, S.K., Qualset C.O., Bhatt G.M. and Wu K.K. (1975). Geographical patterns of phenotypic diversity in a world collection of durum wheats. Crop Science, 15: 700-705. Kulakow, P.A. (1999). Variation in Illinois bundleflower (Desmanthus illinoensis (Michaux) Mac Millan): A potential perennial grain legume. Euphytica, 110: 7-20. Kusmenoglu, I. and Muehlbauer F.J. (1998). Genetic variation for biomass and residue production in lentil: 1. Relation to agronomic traits. Crop Science, 38: 907-910. Polignano, G.B. and Olita G. (1981). Variability in Vicia faba L. of Mediterranean origin. Genet. Agrar. 35: 275-287. Polignano, G.B. and Uggenti P. (1984). Genetic variability in entries of Vicia faba L. of Meditteranean origin. Genet. Agrar. 38: 249-266. Poole, R. W. (1974). An introduction to quantitative ecology. Mc Graw-Hill, N.Y. Porceddu, E. (1976). Variation for agronomic traits in a world collection of durum wheat. Z. Pflanzenzüchtg. 77: 314-329.

Table 1 - Mean, standard deviation, range, and estimates of H' for various countries and characters, and mean diversity ( H' ) and its standard deviation over all characters. Character Country of origin (1) Turkey Fao Collec. Italy Portugal Bulgaria France (482) (154) (82) (22) (21) (18) 41,8 ± 5,5 44,8 ± 4,7 45,8 ± 5,3 45,4 ± 3,1 49,7 ± 2,9 51,6 ± 4,6 Days to harvest (2) range 28-61 31-61 28-58 37-55 43-55 40-58 H'.878.739.794.554.558.708 Plant dry weight (g) 24.5 ± 9.9 17.7 ± 8.3 23.5 ± 8.5 15.1 ± 9.1 42.1 ± 7.8 25.6 ± 9.9 range 4-60 4-34 5-52 6-40 20-58 5-43 H'.903.766.896.836.679.848 Plant seed yield (g) 4.4 ± 2.7 3.8 ± 2.1 4.1 ± 2.4 3.5 ± 2.7 9.3 ± 2.2 4.3 ± 2.7 range 0.8-19.2 0.6-11.3 1.2-12.0 0.5-10.8 6.4-16.1 0.4-8.4 H'.781.728.743.703.626.531 Pods no. / plant 21.1 ± 13.4 14.7 ± 10.4 16.9 ± 8.0 11.9 ± 6.8 31.4 ± 6.4 17.3 ± 9.3 range 9-98 7-76 9-82 4-58 9-70 6-82 H'.808.704.810.680.702.862 Seed yield / pod (mg) 213 ± 82 278 ± 98 239 ± 96 250 ± 41 306 ± 56 232 ± 81 range 50-540 46-518 60-520 51-422 123-510 65-495 H'.758.874.761.840.541.653 H' ± SD Hungary Germany Australia Russia Others (3) World total (15) (9) (9) (7) (15) (834) Days to harvest 53.0 ± 1.6 52.7 ± 3.5 44.1 ± 8.0 50.8 ± 4.1 49.3 ± 2,9 43.2 ± 5.8 range 49-58 46-58 31-55 46-58 42-57 28-61 H'.383.553.661.520.480.906 Plant dry weight (g) 42.1 ± 8.4 14.1 ± 7.6 13.7 ± 4.5 29.7 ± 9.8 20.1 ± 9.1 24.5 ± 9.9 range 18-60 5-30 4-13 16-48 4-31 4-60 H'.729.553.531.497.506.947 Plant seed yield (g) 8.0 ± 2.6 3.1 ± 2.1 1.9 ± 0.9 4.3 ± 2.1 2.7 ± 1.9 4.6 ± 2.9 range 1.6-12.8 0.4-6.3 0.5-6.7 1.8-7.7 0.6-4.4 0.4-19.3 H'.775.407.528.571.626.822 (1) Under each country is reported the number of entries (2) From May 1 st.826 ±.05.762 ±.06.801 ±.05.723 ±.11.621 ±.06 Pods no. / plant 31.2 ± 7.1 12.6 ± 8.8 12.5 ± 5.1 20.4 ± 7.6 10.2 ± 9.2 19.2 ± 11.2 range 8-69 5-70 10-56 20-60 5-30 4-98 H'.712.661.553.549.493.853 Seed yield / pod (mg) 249 ± 51 208 ± 93 152 ± 60 206 ± 52 99 ± 47 224 ± 93 range 110-513 56-386 54-243 119-416 55-205 50-540 H' 0.569 0.728 0.661.605.541 0.831 H' ± SD.634 ±.14.580 ±.11.587 ±.06.548 ±.04.529 ±.05.872 ±.05 (3) Belgium 6; Israel 3; Sweden and Malta 2; Poland and Czech Republic 1..720 ±.12

Table 2 - Simple phenotypic correlations between five agronomic traits of vetch in the all world collection and in the accessions of different countries. Character PDW PNP SY SYP ( ) PDW PNP SY SYP ( ) World total Turkey Days to harvest (DH).151**.182**.176**.173** -.457**.252**.121**.158** Plant dry weight (PDW).723**.794**.192**.438**.348**.173** Pods no./plant (PNP).646**.628**.627**.820** Seed yield/plant (SY).516**.552** FAO Collection Italy Days to harvest (DH) -.312**.461**.423**.501** -.474**.440**.465**.400** Plant dry weight (PDW).293**.262**.085.288**.680**.034 Pods no./plant (PNP).769**.880**.851**.881** Seed yield/plant (SY).608**.803** Portugal Bulgaria Days to harvest (DH).034.722**.675**.787**.089.050 -.106 -.100 Plant dry weight (PDW).156.347.118.416*.467*.227 Pods no./plant (PNP).947**.968**.423*.769** Seed yield/plant (SY).889**.382 France Hungary Days to harvest (DH) -.068.422.131.325 -.070 -.157 -.143 -.142 Plant dry weight (PDW).501*.521*.050.168.429.116 Pods no./plant (PNP).773**.726**.857**.912** Seed yield/plant (SY).771**.834** Germany Australia Days to harvest (DH) -.124.447.363.428 -.812**.313.274 -.222 Plant dry weight (PDW).236.287.135 -.314 -.354.053 Pods no./plant (PNP).924**.920**.887**.728* Seed yield/plant (SY).738*.657 ( ) Seed yield/pod. *, ** Significant at (P < 0.05) and (P < 0.01) respectively.