Combining Ability And Cluster Analysis Of Upland Rice Lines

4 paddy rice lines and 4 upland rice lines were crossed into 112 combinations by Griffing dialed crossl design. The F1 plants were planted separately in paddy land and dryland in Chengdu in 2001. The general combining ability (GCA), special combining ability (SCA) and reverse cross values of 17 characters were analyzed, including 50% heading time, plant height, tillers per plant, productive tillers per plant, ear length, seed setting, grain number per ear, thousand-grain weight, grain weight per plant, head rice percentage, brown rice percentage, milled rice percentage, grain length/grain width, milled rice transparency, chalkiness score, gelatinization temperature and amylose content. At the same time, we got ten upland lines from Rice Research Institute of China. So, we have 18 lines for molecular marker cluster analysis. The 18 lines were planted in isolate field providing leaf sample for total DNA extraction. 52 RAPD and 53 SSR markers were used for cluster analysis. The main results are as follows:1. General combining ability of yielding traits and quality traits of the upland rice lines are commonly junior to that of paddy rice. Crosses between upland rice lines are commonly early maturing, have less tillers per plant and shorter ear length.2. In this experiment, lines from upland ecosystem make the best specific combining ability. Combinations between paddy rice and upland rice have better specific combining ability. Lines from paddy ecosytem make junior specific combining ability. Zhonghan3#(dryland rice) X51015(paddy rice)F1 have heavier plant grain weight, this indicate that some excellent combinations can be found occationally amongst upland rice X paddy rice combinations. To all traits, we found no significance special combining ability difference between paddy and drydand envirenments for most combinations.3. Most of the combinations about Zhonghan3# andZhonghan4# were found earliermature, lower seed setting, lower grain weight per plant, lower grain transparency and lower amylose content in the dryland than in the paddy land. Most of the combinations about Yunlu201 are found having lower seed setting, lower grain weight per plant and lower amylose content in the dryland than in the paddy land.-2-- Most of the combinations about IAPR are found having longer ear length and lower seed setting in the dryland than in the paddy land. Most of the combinations about 51015 are found later mature, having shorter ear length, lower grain weight per plant, lower head rice percentage, lower rice transparency and higher amylose content in the dryland than in the paddy land. Most of the combinations about Minghui63 are found having more tillers per plant in the dryland than in the paddy land. Most of the combinations about Shuhui527 are found having later maturity, higher grain weight per plant and higher rice transparency in the dryland than in the paddy land.4. The reverse cross value(cytoplasm effect) is largelly affected by water conditions without significant regular pattern. The specific combining ability is moderately affected by water conditions, the general combining ability is the least affected by water conditions5. The 52 RAPD and 53 SSR markers displayed the diversity of the 18 rice lines at 73.3 percent. The 18 rice lines are divided into two groups at the point that genetic similarity coefficient is 0. 55. When the genetic similarity coefficient goes to 0.58, three groups are found with GAMA318 occupying an entire group. When the genetic similarity coefficient goes to 0.69, four groups are found. According to the dendrogram, we found distance between primary brunches nearby are longer than that of secondary brunches. The distance between the last brunches and before is the shortest. The majority of the diversity is focused onto the primary classification. The materials are significantly classified into two major types: indica and janponica. Both the upland rice and paddy rice lines are scattering across the major two types. Yunlu201, Zhonghan3#, Minghui63, Shuhui527 and 51015...