Table 3.
The top two accessions for dark green color index (DGCI) within each maturity group (MG) that have the highest and lowest true breeding values (TBVs), which were summation of all positives and negatives allelic values present in the accession.
| Accession | Province | Country | MG | TBV | Favorable alleles | |
|---|---|---|---|---|---|---|
| Highest | PI291329 | Heilongjiang | China | 0 | 0.907 | 33 |
| PI189871 | unknown | France | 0 | 0.841 | 31 | |
| PI189877 | unknown | France | 00 | 0.895 | 35 | |
| PI290155 | Pest | Hungary | 00 | 0.895 | 35 | |
| PI437085 | Amur | Russia | 000 | 0.565 | 28 | |
| PI196501 | Ostergotland | Sweden | 000 | 0.557 | 30 | |
| PI384469A | Krasnodar | Russia | I | 0.809 | 30 | |
| PI437815 | Northeast China | China | I | 0.789 | 29 | |
| PI391585 | Jilin | China | II | 0.845 | 30 | |
| PI089167 | Northeast China | China | II | 0.819 | 30 | |
| PI603912 | unknown | North Korea | III | 0.899 | 35 | |
| PI085272 | Kyonggi | South Korea | III | 0.869 | 34 | |
| PI458037 | Kangwon | South Korea | IV | 1.003 | 34 | |
| PI603397 | Liaoning | China | IV | 0.987 | 37 | |
| PI398304 | Kyonggi | South Korea | V | 0.981 | 35 | |
| PI509109 | Kyongsang Puk | South Korea | V | 0.957 | 35 | |
| PI398332 | Kangwon | South Korea | VI | 0.925 | 34 | |
| PI520732 | Kyonggi | South Korea | VI | 0.925 | 34 | |
| PI506810 | Tohoku | Japan | VII | 0.793 | 30 | |
| PI424475 | Cheju | South Korea | VII | 0.751 | 29 | |
| PI200516 | Shikoku | Japan | VIII | 0.731 | 28 | |
| PI416819A | Kyushu and Okinawa | Japan | VIII | 0.729 | 30 | |
| PI417084B | Kanto and Tosan | Japan | IX | 0.693 | 30 | |
| PI281894 | unknown | Indonesia | IX | 0.541 | 29 | |
| PI240664 | Luzon | Philippines | X | 0.385 | 25 | |
| PI567075B | East Java | Indonesia | X | 0.337 | 20 | |
| Lowest | ||||||
| PI603429A | Nei Monggol | China | 0 | −0.499 | 17 | |
| PI437257 | unknown | Moldova | 0 | −0.463 | 12 | |
| PI437528 | unknown | Ukraine | 00 | −0.457 | 13 | |
| PI437219 | unknown | Moldova | 00 | −0.435 | 14 | |
| PI507729 | Amur | Russia | 000 | −0.429 | 15 | |
| PI507823 | Amur | Russia | 000 | −0.429 | 15 | |
| PI532444A | Jilin | China | I | −0.649 | 11 | |
| PI461509 | Jilin | China | I | −0.599 | 14 | |
| PI458519A | Jilin | China | II | −0.657 | 11 | |
| PI464915A | Jilin | China | II | −0.657 | 11 | |
| PI603550 | Shanxi | China | III | −0.907 | 12 | |
| PI437792 | unknown | China | III | −0.889 | 9 | |
| PI087629 | Unknown | Unknown | IV | −0.853 | 12 | |
| PI548422 | Liaoning | China | IV | −0.853 | 12 | |
| PI548422S | Liaoning | China | V | −0.853 | 12 | |
| FC031934 | unknown | unknown | V | −0.741 | 12 | |
| PI175194 | Uttar Pradesh | India | VI | −0.763 | 6 | |
| PI578308A | Jumla | Nepal | VI | −0.681 | 9 | |
| PI165926 | Uttar Pradesh | India | VII | −0.681 | 9 | |
| PI165914 | Bihar | India | VII | −0.643 | 11 | |
| PI323559 | Uttar Pradesh | India | VIII | −0.391 | 14 | |
| PI174854 | unknown | Nepal | VIII | −0.385 | 14 | |
| PI487431 | Kagoshima | Japan | IX | −0.399 | 13 | |
| PI323576 | Uttar Pradesh | India | IX | −0.257 | 15 | |
| PI393551 | Hsinchu | Taiwan | X | −0.135 | 19 | |
| PI518280 | Hsinchu | Taiwan | X | −0.135 | 19 |