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Nghiên cứu phát triển chủng nấm sợi và tối ưu điều kiện lên men sản xuất đa enzyme α-amylase, glucoamylase, cellulase ứng dụng trong chế biến thức ăn chăn nuôi - 22


LO

PMOC LSMEAN

Standard

Error

Pr > |t|

LSMEAN Number

1

79.0833333

1.6796577

<.0001

1

2

83.3333333

1.6796577

<.0001

2

3

87.9000000

1.6796577

<.0001

3

4

84.7333333

1.6796577

<.0001

4

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Nghiên cứu phát triển chủng nấm sợi và tối ưu điều kiện lên men sản xuất đa enzyme α-amylase, glucoamylase, cellulase ứng dụng trong chế biến thức ăn chăn nuôi - 22


Least Squares Means for effect LO

Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: PMOC

i/j

1

2

3

4

1


0.3140

0.0092

0.1217

2

0.3140


0.2579

0.9338

3

0.0092

0.2579


0.5564

4

0.1217

0.9338

0.5564



LO

PXE LSMEAN

Standard Error

Pr > |t|

LSMEAN Number

1

71.9666667

1.3877440

<.0001

1

2

75.7166667

1.3877440

<.0001

2

3

80.0166667

1.3877440

<.0001

3

4

76.4833333

1.3877440

<.0001

4


Least Squares Means for effect LO

Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: PXE

i/j

1

2

3

4

1


0.2625

0.0042

0.1392

2

0.2625


0.1679

0.9791

3

0.0042

0.1679


0.3090

4

0.1392

0.9791

0.3090



LO

Pthan LSMEAN

Standard

Error

Pr > |t|

LSMEAN Number

1

89.7400000

2.1203103

<.0001

1

2

81.9316667

2.1203103

<.0001

2

3

83.5066667

2.1203103

<.0001

3

4

84.4033333

2.1203103

<.0001

4


Least Squares Means for effect LO

Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: Pthan

i/j

1

2

3

4

1


0.0811

0.2019

0.3182

2

0.0811


0.9517

0.8422

3

0.2019

0.9517


0.9903

4

0.3182

0.8422

0.9903



LO

TLMOC LSMEAN

Standard Error

Pr > |t|

LSMEAN Number

1

82.5633333

0.9362373

<.0001

1

2

82.6600000

0.9362373

<.0001

2

3

81.8483333

0.9362373

<.0001

3

4

81.1650000

0.9362373

<.0001

4


Least Squares Means for effect LO

Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: TLMOC

i/j

1

2

3

4

1


0.9999

0.9479

0.7199

2

0.9999


0.9264

0.6776

3

0.9479

0.9264


0.9540

4

0.7199

0.6776

0.9540



LO

TLXE LSMEAN

Standard

Error

Pr > |t|

LSMEAN Number

1

75.1300000

0.7912249

<.0001

1

2

75.0983333

0.7912249

<.0001

2

3

74.5300000

0.7912249

<.0001

3

4

73.2666667

0.7912249

<.0001

4


Least Squares Means for effect LO

Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: TLXE

i/j

1

2

3

4

1


1.0000

0.9489

0.3728

2

1.0000


0.9560

0.3871

3

0.9489

0.9560


0.6776

4

0.3728

0.3871

0.6776



LO

DTHAN LSMEAN

Standard Error

Pr > |t|

LSMEAN Number

1

96.1666667

1.7235098

<.0001

1

2

96.6666667

1.7235098

<.0001

2

3

99.4166667

1.7235098

<.0001

3

4

95.6666667

1.7235098

<.0001

4


Least Squares Means for effect LO

Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: DTHAN

i/j

1

2

3

4

1


0.9968

0.5562

0.9968

2

0.9968


0.6781

0.9759

3

0.5562

0.6781


0.4391

4

0.9968

0.9759

0.4391



LO

PH45 LSMEAN

Standard Error

Pr > |t|

LSMEAN Number

1

6.78666667

0.09607939

<.0001

1

2

6.63833333

0.09607939

<.0001

2

3

6.70500000

0.09607939

<.0001

3

4

6.73000000

0.09607939

<.0001

4



Least Squares Means for effect LO

Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: PH45

i/j

1

2

3

4

1


0.6994

0.9302

0.9748

2

0.6994


0.9601

0.9052

3

0.9302

0.9601


0.9977

4

0.9748

0.9052

0.9977




LO

H2OBQ LSMEAN

Standard Error

Pr > |t|

LSMEAN Number

1

0.98833333

0.17525973

<.0001

1

2

1.36833333

0.17525973

<.0001

2

3

1.13333333

0.17525973

<.0001

3

4

1.01666667

0.17525973

<.0001

4



Least Squares Means for effect LO

Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: H2OBQ

i/j

1

2

3

4

1


0.4420

0.9352

0.9994

2

0.4420


0.7798

0.5063

3

0.9352

0.7798


0.9644

4

0.9994

0.5063

0.9644



LO

H2OCB LSMEAN

Standard

Error

Pr > |t|

LSMEAN Number

1

31.4333333

0.6094567

<.0001

1

2

30.3000000

0.6094567

<.0001

2

3

30.8750000

0.6094567

<.0001

3

4

31.0066667

0.6094567

<.0001

4


Least Squares Means for effect LO

Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: H2OCB

i/j

1

2

3

4

1


0.5671

0.9148

0.9591

2

0.5671


0.9079

0.8442

3

0.9148

0.9079


0.9987

4

0.9591

0.8442

0.9987




LO

PH24 LSMEAN

Standard

Error

Pr > |t|

LSMEAN Number

1

5.99833333

0.09920867

<.0001

1

2

6.09000000

0.09920867

<.0001

2

3

6.08500000

0.09920867

<.0001

3

4

6.00500000

0.09920867

<.0001

4



Least Squares Means for effect LO

Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: PH24

i/j

1

2

3

4

1


0.9128

0.9249

1.0000

2

0.9128


1.0000

0.9287

3

0.9249

1.0000


0.9395

4

1.0000

0.9287

0.9395




LO

L_TB LSMEAN

Standard

Error

Pr > |t|

LSMEAN Number

1

56.0100000

0.6547232

<.0001

1

2

55.7783333

0.6547232

<.0001

2

3

56.6733333

0.6547232

<.0001

3

4

56.3083333

0.6547232

<.0001

4


Least Squares Means for effect LO

Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: L_TB

i/j

1

2

3

4

1


0.9943

0.8891

0.9880

2

0.9943


0.7699

0.9389

3

0.8891

0.7699


0.9785

4

0.9880

0.9389

0.9785



LO

A_TB LSMEAN

Standard Error

Pr > |t|

LSMEAN Number

1

13.9940000

0.2375589

<.0001

1

2

13.9326667

0.2375589

<.0001

2

3

14.1240000

0.2375589

<.0001

3

4

13.7773333

0.2375589

<.0001

4



Least Squares Means for effect LO

Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: A_TB

i/j

1

2

3

4

1


0.9977

0.9796

0.9158

2

0.9977


0.9397

0.9662

3

0.9796

0.9397


0.7337

4

0.9158

0.9662

0.7337




LO

B_TB LSMEAN

Standard Error

Pr > |t|

LSMEAN Number

1

6.99166667

0.48811073

<.0001

1

2

6.70666667

0.48811073

<.0001

2

3

7.74666667

0.48811073

<.0001

3

4

6.74333333

0.48811073

<.0001

4


Least Squares Means for effect LO

Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: B_TB

i/j

1

2

3

4

1


0.9755

0.6982

0.9835

2

0.9755


0.4566

0.9999

3

0.6982

0.4566


0.4864

4

0.9835

0.9999

0.4864




LO

DAI_TB LSMEAN

Standard

Error

Pr > |t|

LSMEAN Number

1

46.0366667

4.1584148

<.0001

1

2

46.9900000

4.1584148

<.0001

2

3

51.6066667

4.1584148

<.0001

3

4

49.9933333

4.1584148

<.0001

4


Least Squares Means for effect LO

Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: DAI_TB

i/j

1

2

3

4

1


0.9984

0.7803

0.9058

2

0.9984


0.8601

0.9553

3

0.7803

0.8601


0.9925

4

0.9058

0.9553

0.9925




LO

VCK LSMEAN

Standard

Error

Pr > |t|

LSMEAN Number

1

25.6050000

0.2935830

<.0001

1

2

26.0233333

0.2935830

<.0001

2

3

26.2033333

0.2935830

<.0001

3

4

25.9166667

0.2935830

<.0001

4


Least Squares Means for effect LO

Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: VCK

i/j

1

2

3

4

1


0.7474

0.4935

0.8751

2

0.7474


0.9718

0.9938

3

0.4935

0.9718


0.8992

4

0.8751

0.9938

0.8992




LO

PRO1 LSMEAN

Standard

Error

Pr > |t|

LSMEAN Number

1

22.4116667

0.1468418

<.0001

1

2

22.6116667

0.1468418

<.0001

2

3

22.4633333

0.1468418

<.0001

3

4

22.2683333

0.1468418

<.0001

4


Least Squares Means for effect LO

Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: PRO1

i/j

1

2

3

4

1


0.7718

0.9944

0.8993

2

0.7718


0.8900

0.3788

3

0.9944

0.8900


0.7847

4

0.8993

0.3788

0.7847



LO

ASH1 LSMEAN

Standard Error

Pr > |t|

LSMEAN Number

1

1.33333333

0.04515406

<.0001

1

2

1.43166667

0.04515406

<.0001

2

3

1.49333333

0.04515406

<.0001

3

4

1.30833333

0.04515406

<.0001

4


Least Squares Means for effect LO

Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: ASH1

i/j

1

2

3

4

1


0.4383

0.0971

0.9789

2

0.4383


0.7704

0.2544

3

0.0971

0.7704


0.0467

4

0.9789

0.2544

0.0467



LO

Lipit1 LSMEAN

Standard

Error

Pr > |t|

LSMEAN Number

1

1.40000000

0.13378829

<.0001

1

2

1.58500000

0.13378829

<.0001

2

3

1.75000000

0.13378829

<.0001

3

4

1.55500000

0.13378829

<.0001

4


Least Squares Means for effect LO

Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: Lipit1

i/j

1

2

3

4

1


0.7638

0.2875

0.8445

2

0.7638


0.8191

0.9985

3

0.2875

0.8191


0.7344

4

0.8445

0.9985

0.7344


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